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The Firm

Paradigm is a San Francisco-based investment firm focused on crypto and blockchain-related technologies across the globe. We make investments in companies and protocols at all stages including early-stage venture financing rounds, growth equity, and liquid token assets. Paradigm was co-founded in 2018 by Matt Huang (former Partner at Sequoia Capital) and Fred Ehrsam (co-founder of Coinbase). We are building a world-class team to support our portfolio and the crypto ecosystem globally.

The Role

Paradigm's core product is decisions. Those decisions are a function of a huge amount of information - about our investments, about people, and about the external world. This person's job will be to use the most cutting-edge AI tools to build products that will help us make better decisions.

Responsibilities

Run experiments to test where AI can make things faster, smarter, or more efficient
Build tools and features that use AI to improve how we work
Make strategic decisions on how and where we apply AI at Paradigm
Own projects, from figuring out the problem to shipping the solution
Pitch in on core engineering work: performance, reliability, code reviews

Qualifications and Experience

5+ years of software engineering experience, with experience applying AI/ML in production environments
Track record of applying modern AI and software systems to solve complex, ambiguous problems end-to-end.
Comfortable navigating everything from foundational models to full-stack product delivery
Pragmatic, product-minded builder who cares about solving real problems rather than overfitting to academic ML goals
Ability to work autonomously and as a collaborator on the team
Able to work in-person in San Francisco, CA 3 days a week.

Attributes

Exceptional team player
Extreme open-mindedness
Clarity of thought
Clear and concise communication (both written and verbal)
Technical depth; analytical; rigorous
Highly curious; fast learner
Ability to bridge technical and investing mindsets
Interest in frontier technologies and crypto markets

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At Webflow, our mission is to bring development superpowers to everyone. As the pioneer of the Website Experience Platform (WXP), we’re redefining how teams Build, Manage, and Optimize for the web — combining visual development, powerful content management systems, AI-driven personalization, seamless hosting, and end-to-end analytics in a single, unified platform. With AI at the core, Webflow helps teams move faster, create more performant digital experiences, and scale without heavy engineering support. From independent designers and creative agencies to global enterprises, hundreds of thousands of organizations use Webflow to turn ideas into reality — and to power what’s possible on the web.

We are looking for a Staff Software Engineer to join our Applied AI team to help us build generative AI-powered features. The Applied AI team’s goal is to enhance speed, creativity, and quality when building and designing websites through the power of AI, in pursuit of our mission to bring development superpowers to everyone around the world. This role will collaborate directly with product and ML engineers, product managers and designers to identify and implement AI solutions that improve the Webflow user experience, while cultivating an environment of excellence, care, and curiosity.

About the role

Location: Remote-first (United States; BC & ON, Canada)
Full-time
Exempt
Reporting to the Engineering Manager
The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills.

United States (all figures cited below are in USD and pertain to workers in the United States)

Zone A: $175,800 - $247,700
Zone B: $164,500 - $232,200
Zone C: $154,200 - $217,600

Canada (figures cited below are in CAD and pertain to workers in ON & BC, Canada)

CAD 199,300 - CAD 281,100

As a Staff Software Engineer, Applied AI you’ll…

Lead architecture and design for features that integrate with large language models, diffusion models etc.
Consider the impact of technical decisions not just on your immediate team, but also across features and teams working on similar problems.
Hold a high bar for technical quality of AI features at Webflow while taking a pragmatic approach to delivering value to users incrementally.
Stay up-to-date on AI/ML advancements to assess their relevance for the organization's strategy.
Collaborate with product engineering to identify and implement AI solutions that improve user experience and solve specific use cases.
Develop and maintain user interfaces that integrate AI models and algorithms.
Assist in developing and integrating third-party AI APIs into the product's architecture.
Develop a deep understanding of our architecture and codebase while also learning about our product and the customers that use it.
Build quality feedback tooling, including traditional software unit and integration tests as well as AI specific evaluations and quality measurements

In addition to the responsibilities outlined above, at Webflow, we will support you in identifying where your interests and development opportunities lie and we'll help you incorporate them into your role.

About you

You’ll thrive as a Staff Software Engineer, Applied AI if you…

Have 7+ years of experience with a proven track record of shipping code to build consumer-facing web products.
Have 2+ years of experience building products that depend critically on AI/ML.
Have development experience with Node.js, React, TypeScript and a deep, foundational understanding of web technologies more broadly.
Are proficient with AI concepts and technologies, including large language models, fine tuning, vector databases and prompt engineering.
Are passionate about AI and the opportunities unlocked by recent advancements, and want to contribute to building great user experiences on top of these technologies
Possess strong understanding of web development best practices and principles, including responsive design, web performance metrics and accessibility standards.
Effectively communicate and collaborate with cross-functional teams.
Love thinking through large technical problems and working through that complexity on a collaborative, distributed team.
Can debug production issues across services and multiple levels of the stack.
Take pride in taking ownership and driving projects to business impact.

Our Core Behaviors:

Obsess over customer experience. We deeply understand what we’re building and who we’re building for and serving. We define the leading edge of what’s possible in our industry and deliver the future for our customers
Move with heartfelt urgency. We have a healthy relationship with impatience, channeling it thoughtfully to show up better and faster for our customers and for each other. Time is the most limited thing we have, and we make the most of every moment
Say the hard thing with care. Our best work often comes from intelligent debate, critique, and even difficult conversations. We speak our minds and don’t sugarcoat things — and we do so with respect, maturity, and care
Make your mark. We seek out new and unique ways to create meaningful impact, and we champion the same from our colleagues. We work as a team to get the job done, and we go out of our way to celebrate and reward those going above and beyond for our customers and our teammates

Benefits & wellness

Equity ownership (RSUs) in a growing, privately-owned company
100% employer-paid healthcare, vision, and dental insurance coverage for full-time employees (working 30+ hours per week) and their dependents. Full-time employees may also be eligible for voluntary insurance options where applicable in the respective country of employment
12 weeks of paid parental leave for both birthing and non-birthing caregivers, as well as an additional 6-8 weeks of pregnancy disability leave for birthing parents to be used before child bonding leave (note: where local requirements are more generous, employees receive the greater benefit); full-time employees also have access to family planning care and reimbursement
Flexible PTO for all locations and sabbatical program
Access to mental wellness and professional coaching, therapy, and Employee Assistance Program
Monthly stipends to support work and wellness
401k plan or pension schemes (in countries where statutorily required), and other financial wellness benefits, like CPA and financial advisor coverage

Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.

Remote, together

At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.

Stay connected

Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog, LinkedIn, X (Twitter), and/or Glassdoor.

Please note:

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for confidential accommodation requests will be administered.

To join Webflow, you'll need a valid right to work authorization depending on the country of employment.

If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.

For information about how Webflow processes your personal information, please review Webflow’s Applicant Privacy Notice.

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Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
2 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.

Preferred qualifications:

Bachelor’s degree in Computer Science, Electrical Engineering, Math or related quantitative field.
3 years of experience in software development.
3 years of experience developing resource oriented APIs.
3 years of experience writing JavaScript or TypeScript, Java, Kotlin, Golang, or SQL.
3 years of experience designing and debugging databases.
Experience in microservice design and implementation, and understanding of how to best leverage AI tools for prototyping.

3 years of experience designing and debugging databases.3 years of experience designing and debugging databases.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

As a Software Engineer you will drive applied AI innovation through prototyping and experimentation. This role involves transforming cutting-edge concepts into working prototypes, collecting user feedback, and helping to validate AI's potential across tools. In this role, you will grow in an agile, exploratory setting, be comfortable with setbacks, quickly grasp new business domains, and be enthusiastic about uncovering novel AI solutions for real-world issues.

Applied AI builds conversational agents deployed at a large scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call center environments, to fast food ordering handled by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences for team members where you get to work directly with the model builders (Google DeepMind / Vertex), learn and work with brilliant AI leaders, and have access to Global 1000 customers via our existing Google Cloud relationships. The opportunity in this space is tremendous.

Responsibilities

Develop and iterate on working prototypes using the latest Google AI models to test assumptions and gather user feedback.
Collaborate in design sprints to explore problem spaces and generate initial, non-engineering prototypes.
Contribute to shaping immature ideas and concepts into firmer proposals and robust business cases.
Create, test, debug, maintain, and update full-stack web applications and services in collaboration with Product, UX and partner engineering teams.

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Company Description

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

Job Description

Team Bio:

ServiceNow’s Applied AI Forward Deployed Engineering (FDE) team is where bold ideas meet transformative action. We partner with our most strategic customers to shape the future of enterprise AI. Together, we identify high-value opportunities, accelerate business outcomes, and build reusable AI-native solutions that advance the Now AI Platform.

Our mission: We partner deeply with our customers to build intelligent, scalable AI solutions that solve their most mission-critical challenges. By embedding in real-world complexity, we deliver fast, iterate with purpose, and transform every success into reusable patterns that accelerate transformation across the Now Platform and the broader enterprise.

Why This Role Matters:

Enterprises are raising the bar. AI initiatives must deliver business value—not just promise potential. That means taking cutting-edge LLM capabilities and turning them into resilient, secure, and scalable software.

As a Senior Forward Deployed Software Engineer (FDSE), you act as the CTO of the build—owning everything from backend services to LLM pipelines and front-end integrations. You partner with customers in the field to design, implement, and deliver solution-ready builds in agile sprints. Your software becomes the reference implementation for scalable GenAI in the enterprise. You codify patterns, shape internal tooling, and accelerate innovation—delivering systems that are battle-tested in production and scalable across industries.

Who You Are:

You are a systems-minded, AI-native engineer who ships real software. You own the full stack—and are equally motivated by elegant APIs, intuitive UIs, and scalable orchestration pipelines. You think like a product-minded CTO, balancing creativity with pragmatism to deliver impact.

You embed deeply with customer teams, diagnose root problems, and architect AI-powered workflows that run at scale. You don’t just debug code—you debug systems, context, and customer pain points.

You will:

Build solution-ready LLM-enabled applications that span backend logic, data orchestration, and front-end UI
Operate in the field, working side-by-side with customers to adapt, deploy, and iterate in live environments
Codify reusable assets—libraries, prompts, scaffolds—to accelerate future engagements
Shape developer experience by sharing feedback with platform and product teams

What You’ll Do:

Deliver end-to-end builds in agile sprints—from architecture to deployment in production
Engineer with versatility: APIs, orchestration pipelines, vector DBs, LLM frameworks, UI components
Operate with agility: integrate with legacy systems, navigate ambiguity, ship safely at speed
Codify patterns: build scaffolds, SDKs, and documentation to scale success across customers
Influence platform: inform product strategy through field-tested insights and extensible code

What Success Looks Like:

Production-grade delivery: Your solution builds consistently convert to scaled deployments in production environments
Reusable impact: You author libraries, prompts, and scaffolds that power multiple deployments and projects
Platform influence: Your work shapes internal tooling and is integrated into platform roadmap and primitives
Velocity and precision: You move fast without breaking things—shaping resilient, secure systems in high-stakes contexts
Engineering leadership: You are trusted by architects, PMs, and customer teams to lead implementation from zero to one

Qualifications

What You Bring:

Experience: In leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry
Relevant Experience: 8+ years of software engineering, including 2+ years building systems in customer-facing or embedded roles
System architecture: Proven ability to design and implement AI-native software in production environments
Engineering depth: Strength in backend (Python, Node.js, Java), frontend (React, Angular), APIs (REST/GraphQL)
LLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management
Performance & observability: Skilled in debugging distributed systems, tuning for latency, and implementing monitoring
Platform mindset: Can contribute to shared SDKs and tools, raising engineering velocity for the whole org
Product sensibility: Prioritize for user value, MVP iteration, and long-term scale
DevOps fluency: Experience deploying in AWS, Azure, or GCP with CI/CD, containers, and infra-as-code
Field readiness: Able to travel up to 30% to embed onsite and deliver where it matters

Preferred Qualifications:

Experience integrating AI into SaaS platforms like ServiceNow or Salesforce
Track record of production deployments in secure, regulated enterprise environments
Contributions to dev experience tooling, frameworks, or reusable AI scaffolds

Join us at the frontier of enterprise AI—where your code powers AI transformation, your systems go live in the real world, and your ideas shape how the future scales.

For positions in this location, we offer a base pay of $173,100 - $303,000, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. 

Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Additional Information

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.

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Company Description

Job Description

Team Bio:

Why This Role Matters:

Who You Are:

You embed deeply with customer teams, diagnose root problems, and architect AI-powered workflows that run at scale. You don’t just debug code—you debug systems, context, and customer pain points.

You will:

Build solution-ready LLM-enabled applications that span backend logic, data orchestration, and front-end UI
Operate in the field, working side-by-side with customers to adapt, deploy, and iterate in live environments
Codify reusable assets—libraries, prompts, scaffolds—to accelerate future engagements
Shape developer experience by sharing feedback with platform and product teams

What You’ll Do:

Deliver end-to-end builds in agile sprints—from architecture to deployment in production
Engineer with versatility: APIs, orchestration pipelines, vector DBs, LLM frameworks, UI components
Operate with agility: integrate with legacy systems, navigate ambiguity, ship safely at speed
Codify patterns: build scaffolds, SDKs, and documentation to scale success across customers
Influence platform: inform product strategy through field-tested insights and extensible code

What Success Looks Like:

Production-grade delivery: Your solution builds consistently convert to scaled deployments in production environments
Reusable impact: You author libraries, prompts, and scaffolds that power multiple deployments and projects
Platform influence: Your work shapes internal tooling and is integrated into platform roadmap and primitives
Velocity and precision: You move fast without breaking things—shaping resilient, secure systems in high-stakes contexts
Engineering leadership: You are trusted by architects, PMs, and customer teams to lead implementation from zero to one

Qualifications

What You Bring:

Experience: In leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry.
Relevant Experience: 8+ years of software engineering, including 2+ years building systems in customer-facing or embedded roles
System architecture: Proven ability to design and implement AI-native software in production environments
Engineering depth: Strength in backend (Python, Node.js, Java), frontend (React, Angular), APIs (REST/GraphQL)
LLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management
Performance & observability: Skilled in debugging distributed systems, tuning for latency, and implementing monitoring
Platform mindset: Can contribute to shared SDKs and tools, raising engineering velocity for the whole org
Product sensibility: Prioritize for user value, MVP iteration, and long-term scale
DevOps fluency: Experience deploying in AWS, Azure, or GCP with CI/CD, containers, and infra-as-code
Field readiness: Able to travel up to 30% to embed onsite and deliver where it matters

Preferred Qualifications:

Experience integrating AI into SaaS platforms like ServiceNow or Salesforce
Track record of production deployments in secure, regulated enterprise environments
Contributions to dev experience tooling, frameworks, or reusable AI scaffolds

Join us at the frontier of enterprise AI—where your code powers AI transformation, your systems go live in the real world, and your ideas shape how the future scales.

Additional Information

Work Personas

Equal Opportunity Employer

Accommodations

Export Control Regulations

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Company Description

Job Description

Team Bio:

Why This Role Matters:

Who You Are:

You embed deeply with customer teams, diagnose root problems, and architect AI-powered workflows that run at scale. You don’t just debug code—you debug systems, context, and customer pain points.

You will:

Build solution-ready LLM-enabled applications that span backend logic, data orchestration, and front-end UI
Operate in the field, working side-by-side with customers to adapt, deploy, and iterate in live environments
Codify reusable assets—libraries, prompts, scaffolds—to accelerate future engagements
Shape developer experience by sharing feedback with platform and product teams

What You’ll Do:

Deliver Production - ready solution in agile end-to-end sprints
Engineer with versatility: APIs, orchestration pipelines, vector DBs, LLM frameworks, UI components
Operate with agility: integrate with legacy systems, navigate ambiguity, ship safely at speed
Codify patterns: build scaffolds, SDKs, and documentation to scale success across customers
Influence platform: inform product strategy through field-tested insights and extensible code

What Success Looks Like:

Production-grade delivery: Your solution builds consistently convert to scaled deployments in production environments
Reusable impact: You author libraries, prompts, and scaffolds that power multiple deployments and projects
Platform influence: Your work shapes internal tooling and is integrated into platform roadmap and primitives
Velocity and precision: You move fast without breaking things—shaping resilient, secure systems in high-stakes contexts
Engineering leadership: You are trusted by architects, PMs, and customer teams to lead implementation from zero to one

Qualifications

What You Bring:

Experience: In leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry
Relevant Experience: 8+ years of software engineering, including 2+ years building systems in customer-facing or embedded roles
System architecture: Proven ability to design and implement AI-native software in production environments
Engineering depth: Strength in backend (Python, Node.js, Java), frontend (React, Angular), APIs (REST/GraphQL)
LLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management
Performance & observability: Skilled in debugging distributed systems, tuning for latency, and implementing monitoring
Platform mindset: Can contribute to shared SDKs and tools, raising engineering velocity for the whole org
Product sensibility: Prioritize for user value, MVP iteration, and long-term scale
DevOps fluency: Experience deploying in AWS, Azure, or GCP with CI/CD, containers, and infra-as-code
Field readiness: Able to travel up to 30% to embed onsite and deliver where it matters

Preferred Qualifications:

Experience integrating AI into SaaS platforms like ServiceNow or Salesforce
Track record of production deployments in secure, regulated enterprise environments
Contributions to dev experience tooling, frameworks, or reusable AI scaffolds

Join us at the frontier of enterprise AI—where your code powers AI transformation, your systems go live in the real world, and your ideas shape how the future scales.

Additional Information

Work Personas

Equal Opportunity Employer

Accommodations

Export Control Regulations

","hiringOrganization":{"@type":"Organization","name":"ServiceNow","sameAs":"https://www.servicenow.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, New York, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":7,"item":{"@type":"JobPosting","title":"Forward Deployed Software Engineer – Applied AI FDE","datePosted":"2025-08-06","description":"

Company Description

Job Description

Team Bio:

Why This Role Matters:

Who You Are:

You embed deeply with customer teams, diagnose root problems, and architect AI-powered workflows that run at scale. You don’t just debug code—you debug systems, context, and customer pain points.

You will:

Build solution-ready LLM-enabled applications that span backend logic, data orchestration, and front-end UI
Operate in the field, working side-by-side with customers to adapt, deploy, and iterate in live environments
Codify reusable assets—libraries, prompts, scaffolds—to accelerate future engagements
Shape developer experience by sharing feedback with platform and product teams

What You’ll Do:

Deliver Production: ready solution in agile end-to-end sprints
Engineer with versatility: APIs, orchestration pipelines, vector DBs, LLM frameworks, UI components
Operate with agility: integrate with legacy systems, navigate ambiguity, ship safely at speed
Codify patterns: build scaffolds, SDKs, and documentation to scale success across customers
Influence platform: inform product strategy through field-tested insights and extensible code

What Success Looks Like:

Production-grade delivery: Your solution builds consistently convert to scaled deployments in production environments
Reusable impact: You author libraries, prompts, and scaffolds that power multiple deployments and projects
Platform influence: Your work shapes internal tooling and is integrated into platform roadmap and primitives
Velocity and precision: You move fast without breaking things—shaping resilient, secure systems in high-stakes contexts
Engineering leadership: You are trusted by architects, PMs, and customer teams to lead implementation from zero to one

Qualifications

What You Bring:

Experience: In leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry
Relevant Experience: 8+ years of software engineering, including 2+ years building systems in customer-facing or embedded roles
System architecture: Proven ability to design and implement AI-native software in production environments
Engineering depth: Strength in backend (Python, Node.js, Java), frontend (React, Angular), APIs (REST/GraphQL)
LLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management
Performance & observability: Skilled in debugging distributed systems, tuning for latency, and implementing monitoring
Platform mindset: Can contribute to shared SDKs and tools, raising engineering velocity for the whole org
Product sensibility: Prioritize for user value, MVP iteration, and long-term scale
DevOps fluency: Experience deploying in AWS, Azure, or GCP with CI/CD, containers, and infra-as-code
Field readiness: Able to travel up to 30% to embed onsite and deliver where it matters

Preferred Qualifications:

Experience integrating AI into SaaS platforms like ServiceNow or Salesforce
Track record of production deployments in secure, regulated enterprise environments
Contributions to dev experience tooling, frameworks, or reusable AI scaffolds

Join us at the frontier of enterprise AI—where your code powers AI transformation, your systems go live in the real world, and your ideas shape how the future scales.

Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Additional Information

Work Personas

Equal Opportunity Employer

Accommodations

Export Control Regulations

","hiringOrganization":{"@type":"Organization","name":"ServiceNow","sameAs":"https://www.servicenow.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":8,"item":{"@type":"JobPosting","title":"Applied AI Researcher","datePosted":"2025-07-20","description":"

Do you want to be part of the core team building truly AI-native helpful experiences across the consumer space? Do you want to be at the cutting edge of what is next in the AI space but apply it to something of true value in the real world? At Verneek, we are on a mission to build the most helpful AI that augments the knowledge of anyone, anywhere, at any time! As opposed to the mainstream, we believe that the way to bring domain-general AI to the masses is to apply it one domain at a time, through AIs with deep domain expertise. We were on this journey before it got the hottest thing on the face of the planet! Come join some OGs in this so-called \"generative AI\" space and invent what is yet to be the future!

If you are craving to learn something new every day while working at the cutting edge of AI, or if you are simply not satisfied with your academic AI ambitions anymore, Verneek could be a perfect opportunity for you: a deep-tech AI startup, where you'd get to learn, innovate, and leave your mark every single hour of every day.

We are looking for a stellar & highly ambitious AI/NLP researcher as core employees to help build complex AI/NLP models supporting the Verneek AI platform! You'll get to work on fundamental AI research problems, but all grounded on our proprietary AI platform. It is all much more rewarding and influential than working on beating AI benchmarks! :)

Every day, you'll get to solve very unique, highly complex, and socially impactful problems. This is an early-stage startup, so we'll be moving super-fast and there will be no legacy obstacles on your way to make a significant impact. Whatever you do every hour of every day counts!!

RESPONSIBILITIES

Design, implement, and maintain complex AI/NLP models supporting the Verneek AI platform

Requirements

MINIMUM QUALIFICATIONS

MSc. or PhD degree in AI/NLP
4+ years of experience with Python
Good grasp of fundamentals and the state-of-the-art in AI/NLP research
4+ years experience developing models with machine learning frameworks such as PyTorch
Work authorization in the USA at the time of hire

Continuing work authorization during employment can be sponsored by Verneek

PREFERRED QUALIFICATIONS

Experience in Natural Language Understanding, Semantic Parsing, Dialogue Systems
Experience in Transfer Learning and learning with limited data
Publications in top-tier AI venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, etc.
Demonstrated AI/NLP engineering skillset through having deployed largescale AI/NLP systems to production
Experience in building models in the commerce/retail domain
Working knowledge of Scala

At Verneek, we are very determined to build a company that promotes diversity of thought that comes from the diversity of the individuals on the team! Candidates from any gender identity, race, color, religion, sexual orientation, national origin, veteran, or disability status are highly encouraged to apply.https://www.verneek.com/culture

Benefits

Stellar medical, dental, vision, disability, and life insurance

Daily private Chef lunch, curated to personal diets

Transportation Benefits

401K matching contributions
Flexible PTO

Visa/Green Card Sponsorship
Career growth support through sponsoring learning opportunities and mentorship

About Verneek

Verneek is an early-stage deep-tech AI startup, based in the NYC area, founded by a team of leading AI research scientists and backed by a group of world-renowned business and scientific luminaries. Our mission is to build the most helpful AI for anyone, anywhere, at anytime. We are obsessed with what we do and we have fun doing it. Read more about verneek here: https://www.verneek.com/about-verneek and make sure to watch all our introductory videos and yearly recaps here: https://www.verneek.com/culture.

Verneek Culture

It’s often hard to put “culture” into words, perhaps you can get a visual sense of our culture here: https://www.verneek.com/culture. We all obsessively love what we do, care about each other, share all sorts of meals together, celebrate all kinds of events together, and work tirelessly with the excitement of making a difference through AI innovation. We are enjoying the journey, and going through all the ups and downs together.

Although we have come a very long way in setting the foundations of our unique company, but we still have ways to go and you can help shape our culture! The core Verneek team plays a crucial role in further shaping the culture of the company moving forward. We are looking for highly ambitious and tremendously driven individuals who can take the lead in driving various aspects of the company, and help us shape its lasting impact.

Annual Salary Range: $40K-$200K

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Why Zania

Every enterprise spends millions of dollars on Governance, Risk, and Compliance (GRC). It's one of the most critical, yet universally painful, parts of running a business. For decades, this industry has been dominated by legacy systems with notoriously low NPS scores, making it totally ripe for disruption.

Zania is building agentic AI for Governance, Risk, and Compliance (GRC) to solve this massive problem. We are on a rocketship trajectory, creating intelligent agents that automate and augment the most complex risk and compliance workflows. We have found exceptional product-market fit and are scaling our team very quickly. Some reasons to join Zania are:

Dream Customers: Our customers are the most notable enterprises in the world, including FAANG, Big 4 firms and a portfolio of top customers.
Tier 1 Backing: Funded by a leading Tier 1 venture capital fund, giving us the resources to build a generational company.
World-Class Team: Zania is hiring the best. Our team includes AI and Security leaders from Airbnb, Microsoft, Bain & Company, Deloitte, PwC, Brex, and Instacart.
Pioneering Technology: Our engineers and GRC experts work at the absolute forefront of applied AI, building the next generation of agentic systems that will define the future of compliance.
Hyper-Growth: We have seen 10x ARR growth in the last year and are rapidly expanding.
Competitive Compensation & Equity.

Role Overview

As an Applied AI Engineer, you will lead the charge in creating AI systems designed to outperform the world's leading experts in Governance, Risk, and Compliance (GRC). We are seeking an engineer to build production AI systems with a fanatical focus on accuracy, innovation, and responsible design. You will own and build the AI-native products that set a new global standard for GRC.

This role is based in our Palo Alto, CA office. We use an in-person work model and offer relocation assistance.

What You'll Do

Build & Fine-Tune Models: Perform fine-tuning of foundation models on proprietary data and implement novel techniques to achieve world-class accuracy and precision on complex GRC tasks.
Develop AI-Native Workflows: Build sophisticated, multi-step agentic workflows that automate complex GRC processes, from risk assessment to compliance monitoring.
Champion Responsible AI: Implement and pioneer methods for AI explainability and safety, ensuring our systems are transparent, auditable, and fair.
Drive Innovation: Rapidly prototype, evaluate, and integrate state-of-the-art AI research (agents, RAG, new architectures) into reliable, production-grade features.

Representative Projects

Build an AI agent to analyze thousands of regulatory documents and internal controls, identifying potential compliance gaps with a higher accuracy rate than a team of human experts.
Develop a novel, explainable AI system for our risk assessment models, allowing auditors and executives to understand and trust the AI's reasoning for high-stakes decisions.
Build an advanced Retrieval-Augmented Generation (RAG) pipeline over a massive corpus of unstructured company data to provide precise, verifiable assessments over complex compliance requirements.
Partner with GRC subject matter experts to create a ground-truth dataset for a complex task, like third-party risk evaluation, and use it to fine-tune a model that becomes the industry standard.

What You Have

3+ years of experience in an applied AI or machine learning engineering role.
Proven Product Sense: You have a track record of shipping reliable, production-scale ML products and understand how to use offline evaluation and online experimentation to achieve high-performance results.
Expertise in Applied AI: You have direct, hands-on experience building with LLMs, including fine-tuning, Retrieval-Augmented Generation (RAG), and agentic systems.
High-Agency & Drive: You demonstrate a relentless drive for world-class accuracy and take full ownership of outcomes, moving with a bias for action in fast-paced environments. You see challenges as growth opportunities.
Exceptional Communication: You can clearly communicate with Security research counterparts.

Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.

Equity: In addition to the base salary, equity may be part of the total compensation package.

Zania is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

","hiringOrganization":{"@type":"Organization","name":"Zania","sameAs":"https://zania.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":10,"item":{"@type":"JobPosting","title":"Applied AI Engineer","datePosted":"2025-07-02","description":"

About Firstbase

Tens of thousands of businesses — from newly incorporated startups to public enterprises — rely on Firstbase to streamline compliance, finance, analytics, and every part of the back office. It is one platform to run your entire company.

Our goal is to make running a business feel like magic. We make it possible by owning the general ledger and unifying data across all business functions. Compliance tasks are flagged — and often resolved — automatically. Real-time business metrics are accurate, accessible, and easy to understand. And if you need to hire a new employee, send an invoice, or file taxes, you can do it from the same interface.

We’re bundling what’s never been bundled. We’re not building an incorporation tool. We’re not building an ERP. We’re not building an \"AI accountant.\" We are creating a new category entirely: the Company OS.

How we work

We cherish the moments when noise fades and we move with clarity, confidence, and focus — doing the right thing at the right time. These moments are when our best work happens, and we strive to create more of them.

We value craftsmanship over busyness, clarity over complexity, and resilience above all — whether it takes hard work or patience. We aim high, avoid mediocrity, and speak with fearless transparency.

We believe in accelerated career progression and take pride in growing talent from within, always preferring to promote our own before looking externally.

About the team

We're embedding AI across our entire product suite — and we're looking for a pragmatic, pioneering engineer to lead the way.

As Firstbase’s first AI hire, you’ll be at the forefront of how we apply AI to core business and product workflows. You’ll own the end-to-end stack, from early prototyping to production deployment, working closely with product and engineering. Expect high autonomy, a wide surface area to impact, and the opportunity to set the standard for AI inside the company.

Our product is built using PHP, Golang, Node.js, Vue, MySQL, PostgreSQL, AWS. We also use Redis, Vue Router, Vuex, Docker Compose, Docker, GitLab CI, and Graylog, and some third-party API's like Stripe. We use Slack, Clubhouse, Notion, Whimsical, Figma, and G Suite to collaborate and build together.

What you will do

Help shape the future of our product by turning cutting-edge AI into real, high-impact features — from rapid prototyping to production-ready solutions that drive smarter automation, insights, and decision-making.

Your responsibilities will include:

Spot the highest-impact ways AI can improve our product — from smarter automation to better insights and decision-making.
Rapidly prototype ideas using tools like OpenAI, Hugging Face, LangChain, Pinecone, and whatever else helps us move fast.
Adapt and integrate off-the-shelf models (LLMs, embeddings, classifiers, etc.) into real product workflows — not just to show what’s possible, but to ship things that matter.
Experiment, measure, and iterate: create feedback loops and evaluation methods to test what’s working and what’s not.
Train and fine-tune models using Firstbase’s own data when off-the-shelf isn’t good enough.
Collaborate closely with engineering and product to turn prototypes into reliable, user-facing features.
Build out our internal AI stack and shape best practices — technically and ethically — as we scale.
Keep a pulse on the AI space and bring in new ideas, tools, and techniques that can give us an edge.

You should meet the following requirements

Proven experience applying machine learning and/or LLMs to solve real-world product challenges in production.
5+ years of professional experience with Machine Learning, ideally in a SaaS or product-led B2B environment.
1+ years hands-on with LLMs and GenAI techniques — prompt engineering, retrieval-augmented generation (RAG), agents, etc.
Experience deploying on cloud platforms like AWS, GCP, or Azure, and working with CI/CD and containerization workflows.
Comfort with ambiguity and fast-paced environments — you move fast but think critically.
Bonus: exposure to data engineering or analytics pipelines.
Location: Latam/US
Mindset: Mediocrity is your enemy. You don’t stop until you get to \"great.\" You’re relentless in pursuit of excellence.
Communication: You speak your mind, challenge assumptions, and present ideas clearly — no fear of conflict. For latam/remote roles, add the following: Proficiency in English is essential for effective communication across teams and with international stakeholders.

Perks & benefits

Competitive salary & equity: We offer top-of-market pay and a generous equity package — so you’re rewarded not just for your work today, but for the future you help create.
Generous raises & stock refreshers: Your impact deserves recognition. We review compensation quite frequently to ensure you're rewarded as your role grows — including stock refreshers so you continue to share in the upside of what we’re building together.
Flexible work setup: We offer the freedom to work remotely, embracing diverse work styles, while NYC-based team members can opt for a hybrid setup, spending some days in the office to foster collaboration.
PTO & other time off benefits: Take the opportunity to rest and recharge. No questions asked — it’s time to disconnect and come back stronger. Plus, paid sick days, your birthday off, and national holidays.
Gear to Thrive: We provide a renewable stipend on day one and every two years to create your perfect work setup — laptops, headphones, and more. It’s about giving you the tools to do your best work.
Comprehensive health benefits: Comprehensive health insurance reimbursement arrangement. No matter where you are, you’re covered.
Learning & development: We invest in your growth through a dedicated stipend for courses, events, and anything that helps you sharpen your skills and grow in your craft.
Parental Leave: We support you through life’s big moments — maternity, paternity, or adoption — with fully paid time off.
Generous annual bonuses that grow: Expect a bonus that reflects your hard work — usually about 10% of your base salary in the first year. From your second year, a 20% annual multiplier boosts this, rewarding your consistent performance.
Company Gatherings: We host annual retreats, quarterly in-person leadership planning, and occasional co-working days and happy hours — all fully covered to help us connect and have fun in person.
Vacation bonus: After 3 years at Firstbase, you'll receive a generous vacation bonus to take that dream trip. It’s our way of saying \"thank you\" for your commitment — we’re here for the long haul, and we want you to enjoy the ride.
Visa sponsorship: We support the best talent — wherever you are from. Firstbase offers visa sponsorship and renewal assistance if you are already in the US, or are looking to move to join our NYC-based team.
Accelerated career progression: We grow from within. When new roles open up, we look to our own team first — because we believe in recognizing potential, rewarding performance, and giving our people the opportunity to level up.

Interested?

Even if you don’t check every single box but you’re passionate about the role and want to help build something great, we still want to hear from you. We value diverse experiences and unique perspectives.

Want to work at Firstbase but don’t see an opening that fits your experience? Email us at careers@firstbase.io — we will often “create” a role around a great candidate.

","hiringOrganization":{"@type":"Organization","name":"Firstbase","sameAs":"https://firstbase.io/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - LatAm"}}}},{"@type":"ListItem","position":11,"item":{"@type":"JobPosting","title":"Applied AI Engineer","datePosted":"2025-08-06","description":"

Company

Credit Genie is a mobile-first financial wellness platform designed to help individuals take control of their financial future. We leverage artificial intelligence to provide personalized insights and are building a financial ecosystem by offering tools and services that provide instant access to cash, and building credit. Our goal is to empower every customer to achieve long-term financial stability.

Founded in 2019 by Ed Harycki, former Swift Capital Founder (acquired by PayPal 2017). Backed by Khosla Ventures and led by industry pioneers from companies such as; PayPal, Square, and Cash App, we are well positioned to build the future of inclusive finance through cutting-edge technology and customer-centric solutions.

Overview

Credit Genie is on a mission to empower our customers with financial stability and guidance. We believe Artificial Intelligence is the single most powerful tool to deepen that mission and redefine the future of fintech.

To lead the charge, we’re building the AI Boost Team - a dedicated, high-impact group tasked with accelerating Credit Genie's transformation into an AI-first organization.

This isn’t about incremental improvement. We’re targeting 10x output or 10x efficiency in our core processes. We’re looking for builders, innovators, and tinkerers who can turn ambitious ideas into tangible solutions—fundamentally reshaping how we work from the inside out.

The Role

We are hiring three AI Solutions Prototypers to form the core of our new AI Boost team. You are a technical expert with a builder mindset. Your mission is to rapidly design and build functional proofs-of-concept that demonstrate the \"art of the possible\" with AI.

You will embed directly with teams across our business—from Marketing and Product to Customer Service and Risk—to uncover their biggest pain points and opportunities. You won’t just brainstorm; you will build. Using low-code tools, APIs, and your own ingenuity, you will create working prototypes that make the potential of AI tangible, paving the way for company-wide adoption of transformative solutions.

This is a unique opportunity to be part of a lean \"strike team\" at the heart of our company's most critical strategic imperative: becoming a leader in the AI revolution.

What You’ll Do

Partner with business leaders to uncover high-impact AI use cases.
Rapidly prototype and validate AI solutions—often within days, not weeks.
GenAI APIs (OpenAI, Anthropic, Gemini, etc.) and agent frameworks (LangChain, CrewAI, etc.) to bring ideas to life. Note: we’re constantly evolving our toolbox, investing in the latest technologies.
Evaluate third-party tools and hacks—choose speed over perfection.
Hand off validated solutions to Engineering / AI teams for full implementation.
Evangelize AI across the org: run demos, share learnings, and be the go-to internal expert on \"what’s possible.\"

Who You Are

You’re obsessed with AI. You stay plugged into the latest models, tools, and trends—experimenting with GPTs, building weekend projects, and exploring what’s possible.
You’re a rapid builder. You move from idea to prototype in hours or days. You're scrappy and biased toward action.
You have technical fluency. You know Python and SQL, and are comfortable reading and writing code—even if you’re not a full-time engineer.
You’ve got a portfolio. Whether it’s personal projects, hackathons, or freelance gigs, you’ve shipped AI-enabled tools and can show your work.
You learn fast. You're constantly evolving and aren’t afraid to jump into the unknown.
You’re collaborative. You love talking to users, solving real problems, and iterating with feedback.
You’re creative. You see unconventional solutions, think laterally, and love turning wild ideas into working demos.

Why Join the AI Boost Team?

You’ll be on the ground floor of Credit Genie’s most ambitious initiative.
You’ll work across departments, solving diverse, real-world problems with AI.
You’ll have the freedom to build and break things—we value learning over polish.
You’ll grow fast, learn fast, and shape the way an entire company adopts AI.

Benefits and Perks

Our goal is to provide a comprehensive offering of benefits and perks that promote better financial, mental, and physical wellness.

We believe working alongside each other in person is the best way to build a great product and foster a strong company culture. Our expectation is that employees are in the office five days a week, allowing for optimal collaboration, inclusivity, and productivity. At the same time, we understand that life happens and recognize the importance of flexibility. We are committed to supporting our employees when circumstances arise that require remote work or adjusted schedules. Our goal is to ensure everyone can effectively balance personal and professional responsibilities while maintaining our collaborative and productive environment.

Here are some highlights of our benefits and perks offerings, feel free to ask your recruiting partner for more details on our comprehensive offering for employees.

100% company-paid medical, dental, and vision coverage for you and your dependents on your first day of employment.
Monthly fitness reimbursement up to $100 or a full membership to LifeTime Fitness
401(k) with a 2.5% match and immediate vesting
Meal program for breakfast, lunch, and dinner
Life and accidental insurance
Flexible PTO

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of your total compensation and rewards package at Credit Genie. You may also be eligible to participate in the bonus and equity programs. You will also have access to comprehensive medical, vision, and dental coverage, a 401(k) retirement plan with company match, short & long term disability insurance, life insurance, and flexible PTO along with many other benefits and perks.

Credit Genie is a proud Equal Opportunity Employer where we welcome and celebrate differences. We are committed to providing a workspace that is safe and inclusive, where everyone feels supported, connected, and inspired to do their best work. If you require any accommodations to participate in our recruitment process, please inform us of your needs when we contact you to schedule an interview.

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At Fuse Energy, we are transforming the energy sector with innovative solutions that empower consumers. As we continue to scale, we are building a cutting-edge AI team that will play a critical role in developing intelligent, consumer-facing features, as well as internal tools that will drive productivity and innovation across the company.

Role Overview:
We are looking for an Applied AI Engineer to join our growing team at Fuse Energy. This position is ideal for an engineer who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. As an Applied AI Engineer, you will work on a variety of exciting projects, including consumer-focused features like the Energy Co-pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse Energy.

Requirements

Design, develop, and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g., using energy bills for quick setup).
Build and optimise internal AI tools that will make the whole company more productive, with a focus on automation and enhancing workflows.
Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms.
Continuously improve and optimise AI models (including LLM and VLM) to provide a better user experience.
Develop scalable, maintainable AI infrastructure to support a growing set of consumer-facing and internal AI features.
Collaborate with the trading and operations teams to ensure the AI models are aligned with real-time market conditions and energy pricing.
Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts.
Stay up to date with the latest advancements in applied AI and machine learning, and apply them to solve real-world problems within the energy space.
Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively.

Skills & Qualifications:

Minimum 4 years of engineering experience
Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning.
Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.).
Experience working with large-scale models (LLM/VLM) and deploying AI-driven solutions into production.
Solid understanding of cloud technologies, containerization, and building scalable AI applications.
Ability to integrate AI/ML models into real-world applications, focusing on usability and performance.
Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment.
Familiarity with cloud-based platforms (AWS is a plus) and services related to AI/ML is a plus.
Experience or strong interest in energy markets and trading strategies.
Understanding of weather forecasting, energy demand patterns, and production modelling.
Experience working with large datasets, particularly in relation to demand and supply forecasting.

Bonus:

Experience in the energy or utilities industry.
Exposure to Natural Language Processing (NLP) or other related fields.
Familiarity with data engineering practices and working with large datasets.

Benefits

Competitive salary and a stock options sign-on bonus
Biannual bonus scheme
Fully expensed tech to match your needs!
Paid annual leave
Breakfast and dinner for office based employees

","hiringOrganization":{"@type":"Organization","name":"Fuse Energy","sameAs":"https://www.fuseenergy.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, England, United Kingdom - Remote","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":13,"item":{"@type":"JobPosting","title":"Applied AI Scientist","datePosted":"2025-08-19","description":"

POSITION SUMMARY

Zoetis, Inc. is the world's largest producer of medicine and vaccinations for pets and livestock.
Join us at Zoetis India Capability Center (ZICC) in Hyderabad, where innovation meets excellence. As part of the world's leading animal healthcare company, ZICC is at the forefront of driving transformative advancements and applying technology to solve the most complex problems. Our mission is to ensure sustainable growth and maintain a competitive edge for Zoetis globally by leveraging the exceptional talent in India. At ZICC, you'll be part of a dynamic team that partners with colleagues worldwide, embodying the true spirit of One Zoetis. Together, we ensure seamless integration and collaboration, fostering an environment where your contributions can make a real impact. Be a part of our journey to pioneer innovation and drive the future of animal healthcare.

At Zoetis India Capability Center (ZICC) in Hyderabad, we are advancing applied AI research—turning cutting-edge AI methods into production-grade solutions. As an Applied AI Scientist, you will bridge the gap between research and application by developing, fine-tuning, and deploying AI models for real-world use cases such as intelligent assistants, predictive analytics, and process automation.
You will work at the intersection of machine learning research, software engineering, and domain expertise—collaborating with global teams to design AI systems that deliver measurable business value and enhance the quality of life for animals and the people who care for them.

Responsibilities:
AI Model Development & Integration:
• Research, design, and implement AI/ML models, with a focus on LLMs, NLP, and RAG pipelines.
• Fine-tune and adapt pre-trained models for Zoetis-specific use cases.
• Integrate AI models into production environments using APIs and scalable back-end architectures.

Experimentation & Problem-Solving:
• Conduct experiments to evaluate model performance, interpretability, and robustness.
• Apply strong problem-solving skills to address complex AI challenges in real-world settings.
• Troubleshoot model integration issues and optimize performance to meet SLA guidelines.

Deployment & Maintenance:
• Deploy AI models and services to production using MLOps best practices.
• Monitor AI system performance, ensuring scalability, reliability, and compliance.
• Implement continuous improvements based on business needs and user feedback.

Collaboration & Knowledge Sharing:
• Work closely with data scientists, engineers, and product managers to align AI solutions with business objectives.
• Participate in peer reviews of code, model architectures, and experimental design.
• Present research findings, prototypes, and AI strategy recommendations to stakeholders.

Continuous Learning & Innovation:
• Stay current with advancements in AI/ML research, frameworks, and tools.
• Experiment with emerging AI technologies to explore innovative applications for Zoetis.
• Mentor junior team members on AI development and applied research best practices

POSITION RESPONSIBILITIES

Percent of Time
Responsibility % of Time
Research, prototype, and evaluate AI/ML models for Zoetis use cases 30%
Fine-tune LLMs and implement RAG pipelines for domain-specific applications 25%
Collaborate with engineers to integrate AI models into scalable production systems 20%
Conduct experiments, benchmark models, and analyze performance metrics 15%
Publish internal research findings, present solutions, and contribute to AI strategy 10%

ORGANIZATIONAL RELATIONSHIPS

• Partner with business leaders to identify opportunities for AI adoption and automation.
• Work closely with data scientists to integrate models into production environments.
• Coordinate with DevOps, cloud engineering, and security teams to ensure AI applications meet compliance and performance standards.
• Mentor and guide junior engineers to upskill in AI and full-stack development.

EDUCATION AND EXPERIENCE

Education:
Master’s degree in computer science, Artificial Intelligence, or related field.

Experience:
• 1.5–6.5 years of experience in AI/ML, with a track record of applied research leading to deployed solutions.
• Strong expertise in NLP, LLM fine-tuning, RAG architectures, and vector databases.
• Proficiency in Python, PyTorch/TensorFlow, and machine learning libraries.
• Experience with large-scale datasets, model optimization, and MLOps practices.
• Familiarity with cloud-based AI services (AWS Sagemaker, Azure ML, or GCP Vertex AI).

TECHNICAL SKILLS REQUIREMENTS

Indicate the technical skills required and/or preferred, as applicable.
• ML/AI Frameworks: PyTorch, TensorFlow, Hugging Face Transformers.
• Specialization Areas: NLP, LLM fine-tuning, Prompt Engineering, RAG pipelines.
• Data Tools: Pandas, NumPy, Scikit-learn, Vector Databases (Pinecone, Weaviate, FAISS).
• Databases: PostgreSQL, SQL, NoSQL.
• Programming Languages: Python, SQL, optionally C++/Rust for performance-critical components.

PHYSICAL POSITION REQUIREMENTS

Regular working hours are from 11 AM to 8:00 PM IST.
Sometimes, more overlap with the EST Time zone is required during production go-live.

Full time

Regular

Colleague

Any unsolicited resumes sent to Zoetis from a third party, such as an Agency recruiter, including unsolicited resumes sent to a Zoetis mailing address, fax machine or email address, directly to Zoetis employees, or to Zoetis resume database will be considered Zoetis property. Zoetis will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

Zoetis will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. This includes any Agency that is an approved/engaged vendor but does not have the appropriate approvals to be engaged on a search.

","hiringOrganization":{"@type":"Organization","name":"Zoetis","sameAs":"https://www.zoetis.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":14,"item":{"@type":"JobPosting","title":"Applied AI Researcher","datePosted":"2025-08-14","description":"

Distyl AI develops AI native technologies for humans & AI to collaborate to power the operations of the Global Fortune 1000.

In just 24 months, we’ve rapidly grown to partner with some of the world’s largest enterprises—including F100 telecom, healthcare, manufacturing, insurance, and retail companies—delivering multiple AI deployments with $100M+ impact. Our platform, Distillery, along with our team of AI Engineers, Researchers, and Strategists, is pioneering AI-native systems of work, solving the most complex, high-stakes challenges at scale.

Distyl is founded and led by proven leaders from companies like Palantir, Apple, and top national laboratories. We work in deep partnership with OpenAI, jointly going-to-market at the largest enterprises and collaborating evaluating and testing the latest models. Backed by Lightspeed, Khosla, Coatue, industry leaders like Nat Friedman (former GitHub CEO), as well as board members of over 20+ F500s, Distyl is building the future of AI-powered enterprise operations.

What We Are Looking For

At Distyl we’re pushing the envelope of AI utilization in enterprise. This requires creative researchers who don’t just want to drive incremental improvements on benchmarks or optimize an existing process but instead are looking to creatively redefine how software is used.

Our researchers come from many academic backgrounds but have strong research track records, operate in an AI-native way, and would be bored staying on the rails of a traditional research org.

Key Responsibilities

Applied Research — 0→1 System Design: The research team develops novel AI systems by integrating cutting-edge models, proprietary data, and innovative architectures to transform business workflows into AI-native processes. They design, implement, and validate these systems through rigorous benchmarking and real-world deployment.
Exploratory Research — Bold, Big Bets: Researchers critically explore recent advancements in the space across time and disciplines. In doing so, they draw from the full breadth of related exploratory efforts to establish company-wide perspectives and opportunities for innovation. They act on these opportunities through bold experimentation, publishing insights, and actively engaging in discussions to drive the field forward.

What We Require

Experience Building with Models, Not Just Building Models: We develop intelligent systems using models rather than training or fine-tuning them. Ideal candidates have expertise in compound AI systems, agentic collaboration, and associated techniques (ensembling, ReAct, graph-of-thoughts, etc.).
Proven Track Record of Research Results: Whether you’ve published in top journals, posted amazing work on twitter, or somewhere else we want to see what you've done.
Uses AI Every Day: Before you can revolutionize someone else’s workflow, you need to revolutionize yours. You should be using tools like ChatGPT, Cursor, and Perplexity to accelerate your workflow.
Strong Programming and Data Analysis Skills: While you might not consider yourself a software engineer you need to be able to build prototypes of your ideas and then perform the experiments to prove the effectiveness to a F500 Head of AI.
Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.

What We Offer

An opportunity to advance the cutting edge of LLM research and directly revolutionize work in the enterprise space.
Ownership of high-impact research projects, with the autonomy to explore novel approaches and solutions.
Access to state-of-the-art AI models, real business problems, and proprietary data sets across a diverse range of real-world industries.
Competitive salary and benefits package, including equity options, medical/dental/vision covered at 100% for you and your dependents, 401K plan, and perks such as commuter benefits and lunch provided in office.
Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.
A collaborative and intellectually stimulating environment that encourages innovation and personal growth.

If you are an innovative, ambitious, and driven individual looking to make a difference in the world of AI, we want to hear from you. Apply now to join our team as an Applied AI Researcher and help us shape the future of AI-driven solutions for enterprises across the globe.

Note: Distyl is a hybrid working environment and requires in office collaboration 3 days a week. We have offices in SF and NYC

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POSITION SUMMARY

Education:
Master’s degree in computer science, Artificial Intelligence, or related field.

Regular working hours are from 11 AM to 8:00 PM IST.
Sometimes, more overlap with the EST Time zone is required during production go-live.

Full time","hiringOrganization":{"@type":"Organization","name":"Zoetis","sameAs":"https://www.zoetis.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":16,"item":{"@type":"JobPosting","title":"Member of Technical Staff - Applied AI Software Engineer, Health","datePosted":"2025-08-15","description":"CLICK TO APPLYOverviewAt Microsoft AI, our health team is on a mission to help millions of users better understand and proactively manage their health and wellbeing. We’re responsible for ensuring that Microsoft AI’s models and services are useful, trusted and safe across diverse customer health journeys.
We’re assembling a world-class team of builders with backgrounds in healthcare, big tech, and frontier AI research labs. Our goal is to translate cutting-edge research—like MAI-DxO (microsoft.ai/new/the-path-to-medical-superintelligence)—into transformative products for millions of users across copilot.com and Microsoft’s consumer ecosystem.
We are looking for software engineers with experience designing and building LLM-based products, and taking them through to production. You will be a key bridge between research and product, and play a pivotal role in establishing Copilot as the leader in safe, informative, trustworthy and useful health information. We are specifically looking for engineers with experience designing, building and running evaluations for LLMs. You will be expected to build eval pipelines, curate and synthesise datasets, design automated analyses and explain results to internal stakeholders.
Microsoft’s mission is to empower every person and every organisation on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realise our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities:

Be a key cross-functional team member, and close collaborator to product teams. Make significant contributions from translating research into benchmarks to co-authoring product roadmap.
Design and build evaluation systems that test LLM capabilities in the healthcare domain, and interpret and communicate results.
Run experiments to determine how different prompting techniques affect results on internal and industry benchmarks.
Improve the tooling that is used internally to implement, run and analyze evaluations.
Design internal benchmarking and regression testing capabilities that capture model accuracy, safety and utility.

Qualifications
Required Qualifications:

Bachelor's or Higher Degree in Computer Science, or related technical discipline AND significant Python programming experience / machine learning research.
Deep experience building with and around LLMs, and experience building tools for analysing and understanding their performance. Including, but not limited to, prompt / context engineering.
Experience collaborating in cross functional teams, working through ambiguity to deliver high quality results.
Have 0 to 1 experience with a bias towards shipping and learning, while balancing a high-quality bar.
Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.

Preferred qualifications:

Experience in healthcare technology, or experience in the health domain.
Experience with data engineering - handling text dataset sourcing, curation, and processing tasks at scale.
Passionate about conversational AI and its deployment.
Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies and patterns in AI.

CLICK TO APPLY

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Why Zania

Dream Customers: Our customers are the most notable enterprises in the world, including FAANG, Big 4 firms and a portfolio of top customers.
Tier 1 Backing: Funded by a leading Tier 1 venture capital fund, giving us the resources to build a generational company.
World-Class Team: Zania is hiring the best. Our team includes AI and Security leaders from Airbnb, Microsoft, Bain & Company, Deloitte, PwC, Brex, and Instacart.
Pioneering Technology: Our engineers and GRC experts work at the absolute forefront of applied AI, building the next generation of agentic systems that will define the future of compliance.
Hyper-Growth: We have seen 10x ARR growth in the last year and are rapidly expanding.
Competitive Compensation & Equity.

Role Overview

As a Staff Applied AI Engineer, you will lead the charge in creating AI systems designed to outperform the world's leading experts in Governance, Risk, and Compliance (GRC). We are seeking an engineer to build production AI systems with a fanatical focus on accuracy, innovation, and responsible design. You will own and build the AI-native products that set a new global standard for GRC.

This role is based in our Palo Alto, CA office. We use an in-person work model and offer relocation assistance.

What You'll Do

Build & Fine-Tune Models: Lead the fine-tuning of foundation models on proprietary data and implement novel techniques to achieve world-class accuracy and precision on complex GRC tasks.
Develop AI-Native Workflows: Design and build sophisticated, multi-step agentic workflows that automate complex GRC processes, from risk assessment to compliance monitoring.
Champion Responsible AI: Implement and pioneer methods for AI explainability and safety, ensuring our systems are transparent, auditable, and fair.
Drive Innovation: Rapidly prototype, evaluate, and integrate state-of-the-art AI research (agents, RAG, new architectures) into reliable, production-grade features.

Representative Projects

Design and build an AI agent to analyze thousands of regulatory documents and internal controls, identifying potential compliance gaps with a higher accuracy rate than a team of human experts.
Develop a novel, explainable AI system for our risk assessment models, allowing auditors and executives to understand and trust the AI's reasoning for high-stakes decisions.
Architect an advanced Retrieval-Augmented Generation (RAG) pipeline over a massive corpus of unstructured company data to provide precise, verifiable assessments over complex compliance requirements.
Partner with GRC subject matter experts to create a ground-truth dataset for a complex task, like third-party risk evaluation, and use it to fine-tune a model that becomes the industry standard.

What You Have

6+ years of experience (post-M.S./Ph.D.) in an applied AI or machine learning engineering role.
Proven Product Sense: You have a track record of shipping reliable, production-scale ML products and understand how to use offline evaluation and online experimentation to achieve high-performance results.
Expertise in Applied AI: You have direct, hands-on experience building with LLMs, including fine-tuning, Retrieval-Augmented Generation (RAG), and agentic systems.
High-Agency & Drive: You demonstrate a relentless drive for world-class accuracy and take full ownership of outcomes, moving with a bias for action in fast-paced environments. You see challenges as growth opportunities.
Exceptional Communication: You can clearly communicate with Security research counterparts.

Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.

Equity: In addition to the base salary, equity may be part of the total compensation package.

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About Invoca

Commitment to our customers, collaboration, and continuous improvement in a positive environment are more than words written on a wall at Invoca, it’s our way of life. We take pride in an inclusive and egoless culture that helps us drive innovation and build value for both our customers and our people. And of course, there’s the competitive pay, great perks, and getting to work on an industry-leading product. If this sounds unlike most tech jobs you’ve had, you’re right. Come join us. We’re building something special.

About the Engineering Team

You’ll join a team where everyone, including you, is striving to constantly improve their knowledge of software development tools, practices, and processes. We are an incredibly supportive team. We swarm when problems arise and give excellent feedback to help each other grow. Working on our close-knit, multi-functional teams is a chance to share and grow your knowledge of different domains from databases to front ends to telephony and everything in between.

We are passionate about many things: continuous improvement, working at a brisk but sustainable pace, writing resilient code, maintaining production reliability, paying down technical debt, hiring fantastic teammates; and we love to share these passions with each other.

Learn more about the Invoca development team on our blog and check out our open source projects.

About the Role

Are you passionate about harnessing the power of generative AI and foundation models to build truly intelligent products? At Invoca, we're a team of innovators committed to building exceptional teams and groundbreaking AI solutions. This is a unique opportunity to architect the next generation of AI-powered customer experiences, making a direct and measurable impact on our products and the success of our clients.

Why You'll Thrive Here

As a key member of our Data Platform team, you won't just build models; you'll architect the future of how businesses understand and interact with their customers. You will:

Architect and Deploy Applied AI Systems: Design, build, and deploy scalable, production-grade applications using foundation models and other advanced AI techniques to directly influence product performance and efficiency.
Engineer Advanced RAG and Agentic Systems: Go beyond basic implementation. Engineer robust Retrieval-Augmented Generation (RAG) pipelines and multi-step agentic workflows that can reason, use tools, and solve complex problems.
Contribute to Agentic AI System Evaluation: Establish and manage rigorous evaluation frameworks for complex AI agents. You will go beyond simple response quality to assess the entire agentic process, including the validity of reasoning steps, correctness of tool use, task completion rates, and overall robustness.
Excel in Prompt Engineering and Optimization: Craft, test, and manage sophisticated prompt chains and templates to ensure optimal performance, reliability, and cost-effectiveness from our AI models.
Build for Scale and Reliability: Develop resilient serving architectures that seamlessly integrate Large Language Models (LLMs) with enterprise systems, ensuring high availability and performance.
Champion MLOps for Applied AI: Develop and maintain sophisticated MLOps and CI/CD pipelines tailored for the unique challenges of generative AI, including prompt versioning, RAG pipeline management, and continuous evaluation of agent behavior.
Translate Business Needs into AI-Powered Solutions: Work as a strategic partner to product and engineering teams, deeply understanding customer challenges and translating them into innovative, viable, and impactful AI features.

Our Commitment to You

At Invoca, Applied AI Engineers are empowered by mentorship from leading experts across our data science, engineering, and architecture teams. Our dedicated data platform team leverages a powerful combination of proprietary, patented technologies and best-in-class vendor tools to create an exceptionally scalable AI application platform. Our goal is to seamlessly deliver transformative AI-powered experiences through our robust API platform, and your expertise will contribute significantly in accelerating this mission.

What You Bring to the Table

We're looking for a creative and driven Applied AI Engineer who is excited to tackle complex problems and build impactful solutions. You likely have:

Proven Experience: 5+ years of professional experience in Applied AI Engineering, ML Engineering, or a closely related role with a strong focus on building and deploying AI-powered applications.
Applied AI & Python Expertise: Advanced proficiency in Python and hands-on experience building applications with leading AI/ML frameworks (e.g., LangChain, LlamaIndex, CrewAI, PyTorch). You are an expert with data and ML libraries (e.g., Pandas, spaCy).
Production Generative AI Champion: Demonstrated success deploying and maintaining applications powered by LLMs and other generative models in a production environment.
Retrieval-Augmented Generation (RAG) Expertise: Deep, hands-on experience designing, building, and optimizing RAG pipelines. This includes expertise in vector databases (e.g., Qdrant, Pinecone, Weaviate), embedding strategies, and chunking techniques.
Agentic AI System Evaluation Expertise: Demonstrable experience with modern evaluation techniques for multi-step AI agents. You should be able to speak to the trade-offs of evaluating reasoning traces, tool usage, and final outcomes using frameworks like LangSmith, DeepEval, Ragas, TruLens, or custom-built solutions.
Prompt Engineering & In-Context Learning: Demonstrable skill in designing, testing, and optimizing complex prompts and few-shot examples to maximize model performance for specific tasks.
Fine-Tuning Proficiency: Experience in fine-tuning foundation models for specific downstream tasks, with a clear understanding of when to fine-tune versus when to use in-context learning or agentic approaches.
Scalable Model Serving: Advanced proficiency with API-driven frameworks for accessing and serving self-hosted foundation models (e.g., AWS SageMaker/Bedrock, Databricks Model Serving, TGI, vLLM), focusing on building resilient, scalable, and optimized integrations.
Performance and Cost Optimization: A proven ability to optimize AI systems for low latency and high throughput. You have experience with techniques like model quantization, caching strategies, and infrastructure choices to manage and reduce operational costs.
MLOps for AI Systems: Intermediate proficiency with MLOps tooling (e.g., MLFlow, Arize), and best practices for CI/CD, monitoring, and maintenance of complex AI systems.
Educational Foundation: Bachelor's Degree in Computer Science, Engineering, Statistics, or a related field (or equivalent practical experience). An advanced degree (Master's or Ph.D.) is a strong plus.

This role is remote and open to candidates located in the United States and Canada only. Please note that we are unable to provide visa sponsorship for this position.

Salary, Benefits & Perks:

At Invoca, all new hires in the U.S. receive benefits starting on day one of employment. Our benefits offerings include:

Please note that benefits for teammates outside the U.S. may vary in accordance with their country’s laws and regulations.

Flexible Time Off – We encourage a healthy work-life balance. Our flexible paid time off policy allows you to recharge and take time away as needed.
Paid Holidays – Invoca provides 16 U.S. paid holidays, including a winter break, giving you ample opportunity to refresh and spend time with friends and family.
Health Benefits – Our healthcare program includes medical, dental, and vision coverage, with multiple plan options so you can choose what works best for you and your family. Fertility assistance is also included.
Retirement – Invoca offers a 401(k) plan through Fidelity with a company match of up to 4%.
Stock Options – All employees are invited to share in Invoca’s success through stock options.
Mental Health Program– Well-being support on a broad range of issues is available through our SpringHealth program.
Paid Family Leave – Up to 6 weeks of 100% paid leave is provided for baby bonding, adoption, and caring for family members.
Paid Medical Leave – Up to 12 weeks of 100% paid leave is provided for childbirth and medical needs.
InVacation – As a thank-you to our long-term team members, we offer a bonus after 7 years of service.
Wellness Subsidy – We provide a subsidy that can be applied toward gym memberships, fitness classes, and more.
Position Base Range - Salary Range $160,000 - $252,000/ plus bonus potential

DEI Statement

Our company is committed to creating a culture that is not only grounded in continuous learning, teamwork, and customer success, but is fair, equitable, and welcoming for everyone.” Gregg Johnson CEO

And to us, diversity and inclusion means even more than treating current employees well and making them feel welcome. It also means proactively hiring people who bring different insights because of their unique demographics, ways of thinking, and prior experiences.

We intend to continue hiring great people and protecting our culture so everyone can be themselves and speak their minds. That way Invoca will always be a place filled with laughter, energy, hard work, thoughtfulness and respect.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.

#LI-Remote

","hiringOrganization":{"@type":"Organization","name":"Invoca","sameAs":"https://www.invoca.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}}}},{"@type":"ListItem","position":19,"item":{"@type":"JobPosting","title":"Applied AI ML Associate","datePosted":"2025-07-16","description":"

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect Applied AI ML opportunity for you.

As a Applied AI ML Associate at JPMorgan Chase within the Commercial and Investment Banking, you'll be an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. You will be working with cutting-edge technologies to ensure scalable, reliable, and efficient AI solutions.

Job Responsibilities :

Design and maintain continuous integration and continuous deployment (CI/CD) pipelines to automate the testing, deployment, and updating of machine learning models.
Manage and optimize the infrastructure required for running machine learning models in AWS, including cloud services, containerization (e.g., Docker), and orchestration tools (e.g., Kubernetes).
Implement monitoring and logging solutions to track model performance, detect anomalies, and ensure models are operating as expected in production.
Maintain version control for models and data, ensuring traceability and compliance with governance policies and ensure that deployed models adhere to security best practices and comply with relevant regulations and standards.
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems

Required qualifications, capabilities, and skills :

Formal Training or certification on Machine Learning concepts and 2+ years applied experience.
Strong expertise in deploying and managing machine learning models in production environments
Advanced Python Programming Skills including Pandas, Numpy and Scikit- Learn
Proficiency in building and maintaining CI/CD pipelines for machine learning workflows.
Proficient in all aspects of the Software Development Life Cycle
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Expertise in AWS cloud and containerization technologies (e.g., Docker, Kubernetes).
Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack).
Excellent problem-solving skills and attention to detail and Strong communication skills to collaborate effectively with cross-functional teams.
Hands-on practical experience delivering system design, application development, testing, and operational stability

Preferred qualifications, capabilities, and skills :

Proven experience in deploying and managing machine learning models in production environments.
Strong ability to monitor ML models in production, addressing model performance and data quality issues effectively.
Working knowledge of security best practices and compliance standards for Machine Learning systems.
Experience with infrastructure optimization techniques to enhance performance and efficiency.
Development of REST APIs using frameworks such as Flask or FastAPI for seamless integration into business solutions.

\n\n

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

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The Basics

As a Tanium Senior Software Engineer, you will be tasked with building and maintaining best-of-breed products as part of a small and nimble development team. Tanium focuses on a strong customer engagement model and feedback process to ensure our products are designed the right way from the beginning. When new products ideas are identified, our software engineers are responsible for designing, developing, testing, and deploying the products from the ground up, while continuously iterating with product management and customers for feedback and input.

What you’ll do

Design, develop, and deploy AI Agents and machine learning models to solve complex business problems
Create and maintain backend systems for LLMs and AI Agents, ensuring high performance and scalability
Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows
Optimize and fine-tune models and AI Agents for performance, accuracy, and efficiency
Implement and manage CI/CD pipelines for AI model and AI Agent deployment
Monitor and troubleshoot AI systems in production, ensuring reliability and robustness
Stay updated with the latest advancements in AI, machine learning, AI Agents, and related technologies

We’re looking for someone with

Education\n
- Bachelor's degree or equivalent experience
- CS Degree preferred
\n

Experience\n
- 3+ years industry experience, 5+ preferred
- Proven experience as an AI Developer, AI Engineer, or similar role
- Expert knowledge of at least one of Golang (preferred), Python or Java and experience with Kubernetes
- Strong understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch)
- Experience with LLMs, AI Agents, and natural language processing (NLP) techniques
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies
\n
Other\n
- Demonstrates sound judgment for balancing between rapid development, and long-term code maintainability and supportability
- Communicates effectively, both technically and non-technically, as well as in written and oral forms
- Believes in the power of and the need for writing automated tests as part of development
- Skilled debugger who can put out fires under pressure when things go wrong in production environments
- Has knowledge of a variety of modern software frameworks (server side & browser side) and the versatility to learn new tools
- Detail-oriented and passionate for creating an awesome user experience
\n

About Tanium

Tanium delivers the industry's only true real-time cloud-based endpoint management and security offering. Its platform is real-time, seamless, and autonomous, allowing security-conscious organizations to break down silos between IT and Security operations that results in reduced complexity, cost, and risk. Securing more than 32M endpoints around the world, Tanium's customers include Fortune 100 organizations, top US retailers, top US commercial banks, and branches of the U.S. Military. It also partners with the world's biggest technology companies, system integrators, and managed service providers to help customers realize the full potential of their IT investments. Tanium has been named to the Forbes Cloud 100 list for nine consecutive years and ranks on the Fortune 100 Best Companies to Work For. For more information on The Power of Certainty™, visit www.tanium.com and follow us on LinkedIn and X.

On a mission. Together.

At Tanium, we are stewards of a culture that emphasizes the importance of collaboration, respect, and diversity. In our pursuit of revolutionizing the way some of the largest enterprises and governments in the world solve their most difficult IT challenges, we are strengthened by our unique perspectives and by our collective actions.

We are an organization with stakeholders around the world and it’s imperative that the diversity of our customers and communities is reflected internally in our team members. We strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that only together can we do great things.

Each of our team members has 5 days set aside as volunteer time off (VTO) to contribute to the communities they live in and give back to the causes they care about most.

What you’ll get

The annual base salary range for this full-time position is $120,000 - $355,000. This range is an estimate for what Tanium will pay a new hire. The actual annual base salary offered may be adjusted based on a variety of factors, including but not limited to, location, education, skills, training, and experience.

In addition to an annual base salary, team members will receive equity awards and a generous benefits package consisting of medical, dental and vision plan, family planning benefits, health savings account, flexible spending account, transportation savings account, 401(k) retirement savings plan with company match, life, accident and disability coverage, business travel accident insurance, employee assistance programs, disability insurance, and other well-being benefits.

For more information on how Tanium processes your personal data, please see our Privacy Policy.

#Hybrid

","hiringOrganization":{"@type":"Organization","name":"Tanium Inc.","sameAs":"https://www.tanium.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bellevue, WA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":21,"item":{"@type":"JobPosting","title":"Architect, Applied AI Engineering","datePosted":"2025-07-15","description":"

We are looking for exceptional engineers who consistently deliver outsized impact through deep technical expertise, rapid problem-solving, and strong ownership. Ideal candidates will not only write high-quality, scalable code but also influence architectural decisions, mentor team members, and build tools or frameworks that enhance team productivity. If you thrive in fast-paced environments, think systemically, and are passionate about driving both technical excellence and business outcomes, you’ll fit right in.

This is a unique opportunity to shape our AI architecture, steer product direction, and drive innovation on a scale.

Key Responsibilities

Lead architectural design of AI-first systems that integrate LLMs, RAG pipelines, and agentic workflows. Takes full responsibility for projects — from concept to deployment and support
Design scalable, cloud-native infrastructure for secure, low-latency GenAI deployments. Delivers high-quality code rapidly, often automating or optimizing repetitive tasks
Deep knowledge of programming languages, algorithms, system design, and debugging. Able to solve complex problems quickly and efficiently.
Define AI platform strategies including model selection, orchestration layers, data pipelines, and inference stacks.
Architect modular APIs and reusable GenAI components across teams and product lines. Elevates the team, mentors others, communicates effectively
Collaborate with engineering, product, and data science to bring AI capabilities to production rapidly.
Evaluate, implement, and optimize LLMs (e.g., GPT, Claude, LLaMA) and vector databases (e.g., Pinecone, Qdrant).
Champion best practices in AI safety, model governance, and performance monitoring.
Sees the big picture — understands architecture, scalability, and maintainability

Required Qualifications

10+ years of experience in software architecture and engineering, including 3–5 years in AI/ML systems.
Deep hands-on experience with LLM APIs (OpenAI, Anthropic, Mistral) and GenAI tools (LangChain, LlamaIndex,Temporal, AutoGen).
Proven experience architecting production-grade GenAI or ML-powered products.
Expertise in system design, microservices, API architecture, and distributed systems.
Proficient in Python and one backend/system-level language, Net
Strong understanding of model training pipelines, retrieval systems, embeddings, and cloud AI infra.
Familiar with MLOps, Kubernetes, and CI/CD for AI model deployment.

Preferred

Experience with multi-modal AI, agentic systems, or domain-specific fine-tuning.
Exposure to AI regulations, ethical AI frameworks, and prompt security.
Contributions to AI/ML open source or published research.
Ability to mentor cross-functional teams and lead architecture councils.

With unmatched technology and category-defining innovation, Icertis pushes the boundaries of what’s possible with contract lifecycle management (CLM). The AI-powered, analyst-validated Icertis Contract Intelligence (ICI) platform turns contracts from static documents into strategic advantage by structuring and connecting the critical contract information that defines how an organization runs. Today, the world’s most iconic brands and disruptive innovators trust Icertis to fully realize the intent of their combined 10 million contracts worth more than $1 trillion, in 40+ languages and 93 countries.

","hiringOrganization":{"@type":"Organization","name":"Icertis","sameAs":"https://www.icertis.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pune, Maharashtra, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":22,"item":{"@type":"JobPosting","title":"Architect, Applied AI Engineering","datePosted":"2025-07-15","description":"

This is a unique opportunity to shape our AI architecture, steer product direction, and drive innovation on a scale.

Key Responsibilities

Lead architectural design of AI-first systems that integrate LLMs, RAG pipelines, and agentic workflows. Takes full responsibility for projects — from concept to deployment and support
Design scalable, cloud-native infrastructure for secure, low-latency GenAI deployments. Delivers high-quality code rapidly, often automating or optimizing repetitive tasks
Deep knowledge of programming languages, algorithms, system design, and debugging. Able to solve complex problems quickly and efficiently.
Define AI platform strategies including model selection, orchestration layers, data pipelines, and inference stacks.
Architect modular APIs and reusable GenAI components across teams and product lines. Elevates the team, mentors others, communicates effectively
Collaborate with engineering, product, and data science to bring AI capabilities to production rapidly.
Evaluate, implement, and optimize LLMs (e.g., GPT, Claude, LLaMA) and vector databases (e.g., Pinecone, Qdrant).
Champion best practices in AI safety, model governance, and performance monitoring.
Sees the big picture — understands architecture, scalability, and maintainability

Required Qualifications

10+ years of experience in software architecture and engineering, including 3–5 years in AI/ML systems.
Deep hands-on experience with LLM APIs (OpenAI, Anthropic, Mistral) and GenAI tools (LangChain, LlamaIndex,Temporal, AutoGen).
Proven experience architecting production-grade GenAI or ML-powered products.
Expertise in system design, microservices, API architecture, and distributed systems.
Proficient in Python and one backend/system-level language, Net
Strong understanding of model training pipelines, retrieval systems, embeddings, and cloud AI infra.
Familiar with MLOps, Kubernetes, and CI/CD for AI model deployment.

Preferred

Experience with multi-modal AI, agentic systems, or domain-specific fine-tuning.
Exposure to AI regulations, ethical AI frameworks, and prompt security.
Contributions to AI/ML open source or published research.
Ability to mentor cross-functional teams and lead architecture councils.

","hiringOrganization":{"@type":"Organization","name":"Icertis","sameAs":"https://www.icertis.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pune, Maharashtra, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":23,"item":{"@type":"JobPosting","title":"Applied AI ML Director","datePosted":"2025-07-15","description":"

The Applied Artificial Intelligence and Machine Learning team in Corporate and Investment Banking is transforming the operations of the world’s largest bank by leveraging the latest advancements in open source artificial intelligence and proprietary frontier models. To facilitate rapid growth, the team is focusing expertise in key \"Domains\" that are crucial to the firm, such as Documents, Email, Speech, and more. We are looking for an Executive Director for our Corporate and Investment Banking Applied AI team to lead the development of a small team of specialists. This team will be responsible for creating horizontal capabilities in the form of APIs, libraries, and thought leadership, including reproducing external results and publishing novel findings within one of the Domains. We seek an team member with a strong foundation in artificial intelligence and software engineering, who has made significant contributions to open source projects and/or led the development and maintenance of AI systems vital to business operations.

As an Applied AI ML Director within the Corporate and Investment Banking Applied AI team, you will lead a team of experts to develop horizontal capabilities through APIs, libraries, and thought leadership. You will collaborate with Line of Business AI teams to address priority use cases, design and build services, and promote best practices in AI. Your role will involve mentoring a team of AI engineers and ensuring the firm stays at the forefront of AI advancements.

Job Responsibilities

Assist LoB AI teams to directly solve for priority use cases within the domain

Design and build services and libraries that LoB AI teams want to use

Lead, mentor, and inspire a team of AI engineers, fostering a culture of excellence, innovation, and continuous learning

Work seamlessly with technology partners to build and maintain business critical services

Drive best practice as a community leader and ensure AI practitioners in the firm stay up to date with the latest advances

Required qualifications, capabilities and skills

PhD and academic research experience or have worked in one of the top commercial AI research labs

Deep understanding of AI fundamentals and practical experience with data analysis and experimental design

Recent hands-on experience training, deploying models and pipelines

Familiarity with distributed computing patterns for training, serving, persistence of state

Experience in building and leading high-performing AI teams

Exceptional verbal and written communication skills, with the ability to convey complex technical concepts to diverse audiences

Able to influence key decision makers with compelling technical arguments.

\nJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
\n\n \n \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.","hiringOrganization":{"@type":"Organization","name":"JPMorgan Chase & Co.","sameAs":"https://www.jpmorganchase.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"LONDON, United Kingdom","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":24,"item":{"@type":"JobPosting","title":"Principal Applied AI Engineer","datePosted":"2025-08-04","description":"

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.

The Generalized Agents team is at the forefront of AI innovation, driving cutting-edge research and development across deep learning, natural language processing, large language models (LLMs/GPT), reinforcement learning (RL), and graph-based models. We specialize in pioneering advanced agentic solutions, including state-of-the-art AI innovations with RL fine-tuning of LLMs, to build intelligent systems that adapt, reason, and act autonomously. Our mission is to anticipate future technological needs and seamlessly integrate transformative AI capabilities into our product ecosystem—delivering solutions that not only meet today’s challenges but also lay the foundation for the next generation of applied AI and data science.

We are looking for an enthusiastic Principal Applied AI Engineer to join our dynamic team, who is passionate about the latest AI advancements, has a high-level dedication to team success, drives and implements high-quality code, and is willing to take on a challenge of collaborating with a team of world-class applied AI researchers. Our goal, to build new methods, tools, and frameworks for demonstrating how AI-powered solutions can help Microsoft Security spearhead a new era of securing and managing digital estate for our customers.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

Architect, design, and implement training and solution pipelines for complex agentic AI systems, including building tech preview prototypes.
Integrate RL-fine-tuned LLM based research prototypes into production-level platforms.
Collaborate and drive common design with senior technical staff of Microsoft Sentinel Graph, Copilot for Security and other Microsoft Security products
Act as a catalyst in accelerating the team’s transition to an AI-first mindset and development approach.
Serve as a thought leader in architecting advanced AI systems and agentic AI solutions with RL-fine-tuned LLMs.

Embody our culture and values

Qualifications

Required/minimum qualifications

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including C# AND Python OR equivalent experience.

2+ years of experience with LLMs and open-source GenAI frameworks, such as LangChain, LlamaIndex, Haystack, or equivalents (e.g., Transformers, AutoGen, DSPy), including agent-based orchestration, prompt engineering, retrieval-augmented generation (RAG), and fine-tuning and evaluation. Proficiency in writing production-quality software code in one or more modern programming languages (Python, C#)
5+ years experience developing software systems end-to-end, from design to implementation.
2+ years experience in shipping at least 2 large scale ML/AI-based services or applications on cloud platforms (Azure, AWS, GCP, etc.)

Other Requirements

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: 

Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Additional or preferred qualifications
Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until August 17, 2025

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

#MSFTSecurity #MSECAI #AI #AIML #AIEngineer #AppliedResearch #ThreatIntelligence #LLM #ReinforcementLearning #DeepLearning

","hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://www.microsoft.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond, Washington, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":25,"item":{"@type":"JobPosting","title":"Applied AI ML Lead","datePosted":"2025-06-30","description":"

We are seeking individuals with advanced expertise in Machine Learning (ML) to join our dynamic team.

As an Applied AI ML Lead within our Corporate Sector, you will play a pivotal role in developing machine learning and deep learning solutions, and experimenting with state of the art models. You will contribute to our innovative projects and drive the future of machine learning at AI Technologies. You will use your knowledge of ML tools and algorithms to deliver the right solution. You will be a part of an innovative team, working closely with our product owners, data engineers, and software engineers to build new AI/ML solutions and productionize them. You will also mentor other AI engineers and scientists while fostering a culture of continuous learning and technical excellence. We are looking for someone with a passion for data, ML, and programming, who can build ML solutions at-scale with a hands-on approach with detailed technical acumen.

Job responsibilities

Serve as a subject matter expert on a wide range of machine learning techniques and optimizations.
Provide in-depth knowledge of machine learning algorithms, frameworks, and techniques.
Enhance machine learning workflows through advanced proficiency in large language models (LLMs) and related techniques.
Conduct experiments using the latest machine learning technologies, analyze results, and tune models.
Engage in hands-on coding to transition experimental results into production solutions by collaborating with the engineering team, owning end-to-end code development in Python for both proof of concept/experimentation and production-ready solutions.
Optimize system accuracy and performance by identifying and resolving inefficiencies and bottlenecks, collaborating with product and engineering teams to deliver tailored, science and technology-driven solutions.
Integrate Generative AI within the machine learning platform using state-of-the-art techniques, driving decisions that influence product design, application functionality, and technical operations and processes

Required qualifications, capabilities, and skills

Formal training or certification on AI/ML concepts and 5+ years applied experience
Hans on experience in programming languages, particularly Python.
Manage to apply data science and machine learning techniques to address business challenges.
Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs).
Expertise in deep learning frameworks such as PyTorch or TensorFlow, and advanced applied ML areas like GPU optimization, finetuning, embedding models, inferencing, prompt engineering, evaluation, and RAG (Similarity Search).
Manage to complete tasks and projects independently with minimal supervision, with a passion for detail and follow-through.
Excellent communication skills, team player, and demonstrated leadership in collaborating effectively with engineers, product managers, and other ML practitioners

Preferred qualifications, capabilities, and skills

Exposure with Ray, MLFlow, and/or other distributed training frameworks.
MS and/or PhD in Computer Science, Machine Learning, or a related field.
Understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies.
Familiar in Reinforcement Learning or Meta Learning.
Understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
Exposure building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.

\n\n\n JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.\n \n\n

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

\n\n

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

","hiringOrganization":{"@type":"Organization","name":"JPMorgan Chase & Co.","sameAs":"https://www.jpmorganchase.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad, Telangana, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":26,"item":{"@type":"JobPosting","title":"Applied AI Engineer - Internship","datePosted":"2025-07-21","description":"

DevRev

DevRev’s AgentOS, purpose-built for SaaS companies, comprises three modern CRM apps for support, product, and growth teams. It connects end users, sellers, support, product people, and developers, reducing 9 business apps and converging 6 teams onto a common platform.

Unlike horizontal CRMs, DevRev takes a blank canvas approach to collaboration, AI, and analytics, enabling SaaS companies to increase product velocity and reduce customer churn. DevRev is used by thousands of companies in search of low latency analytics and customizable LLMs to thrive in this era of GenAI.

Headquartered in Palo Alto, California, DevRev has offices in seven global locations. We have raised $100 million in funding from investors like Khosla Ventures and Mayfield at a $1.1 billion valuation. We are also honored to be named on the Forbes 2024 list of America’s Best Startup Employers. Founded in October 2020 by Dheeraj Pandey, former co-founder and CEO of Nutanix, and Manoj Agarwal, former SVP of Engineering at Nutanix, DevRev continues to push the boundaries of innovation, helping thousands of companies thrive in the rapidly evolving landscape of AI-driven SaaS.

Applied AI Engineer

The Applied AI Engineering team ensures our customers get the optimal experience from DevRev. As customers go through their DevRev journey, they may identify need(s) for integration with existing enterprise systems/services, workflow/process automation or customization/enhancement of the DevRev platform capabilities to achieve their business objectives. Our team works with customers to understand requirements and design, develop, and implement solutions to meet customer goals.

Your mission is to systematically help customers find value with DevRev by developing a thorough understanding of their needs, owning the coordination between internal and external stakeholders, and engineering the solution to get the job done. You are a product expert and will use your application development, and AI/ML skills to ensure our customers get the most out of the DevRev platform.

Job Description

As an Applied AI engineer at DevRev, you will work closely with our pre- and post-sales Customer Experience team by developing solutions over the core platform via applications written in TypeScript, JavaScript, Python etc. You will be expected to employ your creativity and expertise to ideate and shape how AI, analytics and workflows are used in customers' processes.

Objectives of this role will include:

Design, develop and implement integrations, automations and customizations to integrate DevRev with customers’ tech stack and workflows, and ensure successful customer engagements.
Utilize AI in novel ways to solve customer problems, including Generative AI techniques like prompt engineering for foundation large language models (LLMs) to enable great AI agent experience.
Work on semantic search engine fine-tuning for better search accuracy.
Conduct data analysis, writing SQL queries, and building dashboards to share insights and drive decision-making.
Be proactive in communicating and keeping constant feedback loops to all key stakeholders including Customers, Engineering, Product, Customer Success & Support, Revenue, Marketing etc.
Learn new tools and guide customers through critical workflows, e.g. integration with code repositories.

Ideal Candidate Qualifications:

Software engineering degree or equivalent educational or professional experience.
Hands-on coding experience using TypeScript/JavaScript, Python, APIs, Webhooks, and SQL.
Familiarity with Generative AI technologies including models like GPT-4, prompt engineering and fine-tuning.
Knowledge of vector databases and data embeddings.
Outstanding communication (written and verbal in English).
Result-oriented work style, ability to get things done and a learning mindset.
An endless passion for challenging work that requires high energy, full engagement and a self-founded need for high performance.

Culture

The foundation of DevRev is its culture -- our commitment to those who are hungry, humble, honest, and who act with heart. Our vision is to help build the earth’s most customer-centric companies. Our mission is to leverage design, data engineering, and machine intelligence to empower engineers to embrace their customers.

That is DevRev!

","hiringOrganization":{"@type":"Organization","name":"DevRev","sameAs":"https://devrev.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Buenos Aires, Argentina","addressCountry":"Argentina","addressRegion":"South America"}}}},{"@type":"ListItem","position":27,"item":{"@type":"JobPosting","title":"Principal Applied AI Scientist","datePosted":"2025-08-06","description":"

Microsoft is on a mission to empower every person and every organization on the planet to achieve more. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. You can help us achieve our mission.

Microsoft Customer and Partner Solutions (MCAPS) AI Transformation (AIT) focuses on making sure sellers, customers, and partners are AI enabled to drive scale and efficiency with prioritized solution plays aligned with Microsoft Customer Engagement Methodology (MCEM), regionalized marketing, and operational centers of excellence.

As a Principal Applied AI Scientist, you will oversee the AI Incubation Program, ensuring that AI Engineers, Scientists, and Product Managers deliver AI projects successfully. Your role involves leading the development of AI and ML solutions in areas such as Generative AI, multi-modal AI, Recommendation Engines, and Causal Models. Additionally, you will guide architectural updates and platform planning to support AI solutions, machine learning recommendations, and product integration for MCAPS Businesses. You will also collaborate with various teams to explore new applications of AI research areas and implement architectural changes.

Responsibilities

Problem Formulation 

Frames broad or ambiguous questions into discrete, manageable problems with well-defined, measurable objectives. 
Uses and promotes data-exploration techniques in order to discover new or previously unasked questions. 
Incorporates an understanding of the business, customer perspectives, data sources, and methodologies to reframe problems in order to gain added insight. 
Defines metrics and methodology that accurately quantify the customer/business value of improvements. 
Conforms to privacy policies that govern data sources.

Applying Scientific Methods  

Identifies data sources, integrates multiple sources or types of data, and applies expertise within a data source in order to develop methods to compensate for limitations and extend the applicability of the data.  
Applies (or develops if necessary) tools and pipelines to efficiently collect, clean, and prepare massive volumes of data for analysis. 
Transforms formulated problems into implementation plans for experiments by applying (and creating when necessary) the appropriate methods, algorithms, and tools, and statistically validating the results against biases and errors. 
Interprets results and develops insights into formulated problems within the business/customer context and provides guidance on risks and limitations. 
Acquires and uses broad knowledge of innovative methods, machine learning algorithms, and tools from within Microsoft and from the scientific literature, and applies his or her own analysis of scalability and applicability to the formulated problem.  
Validates, monitors, and drives continuous improvement to methods, and proposes enhancements to data products and models that improve usability and results. 
Assists with documentation as requested.

Leveraging Applied Research

Gains a basic understanding of a broad area of AI and Large Language Models and implements these technologies in relevant business domains.
Develops basic knowledge of changes in industry trends and advances in applied technologies. Shares knowledge with team members. Learns product domain by reviewing products.
Applies strategy by understanding the role in the team and applying the strategy provided by senior team members.
Under instruction from others, researches new tools, technologies, and methods being used in the community that can be utilized to improve product quality, performance, or efficiency. Contributes knowledge around a specialized tool/method to support the application of business impact.

Driving Impact with Data & Science 

Influences stakeholders to make product/service improvements that yield customer/business value by effectively making compelling cases through story-telling, visualizations, and other influencing tools. 
Develops foundational knowledge and methods to address key (or previously unidentified) problem areas, and uses the appropriate channels to evangelize them with the broader Microsoft community.  
Consistently identifies and ships measurable changes to tools, instrumentation, models, algorithms, and/or products/services that fundamentally improve the existing model, tool, and/or product/service framework.

Effective Team Collaboration 

Drives collaboration across teams and begins to find ways to accomplish more by enabling others.
Overcomes obstacles by resolving issues regardless of team boundaries, and identifies and resolves teamwork issues. 
Engages and maintains consistent communication with all relevant parties until issues are resolved. 
Promotes a positive team environment by remaining open to feedback and by modeling best practices and behavior that promote good morale and team culture.
Proactively provides mentorship and coaching to junior and mid-level team members (e.g., interns, research associates, Ph.D. candidates) by sharing expertise to build team capabilities and guiding team members in projects, and their careers, and may help to establish best practices and standards.

Qualifications

Required/Minimum Qualifications

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

Additional or Preferred Qualifications

Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
5+ years experience conducting research as part of a research program (in academic or industry settings).
3+ years experience developing and deploying live production systems, as part of a product team.
Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., applied AI/ML, managing structured and unstructured data, applying statistical techniques and reporting results) 
- OR equivalent experience
3+ years of experience with programming in Python, PySpark
3+ years big data systems for ad hoc query and data preparation
Experience developing Apps, scorecards and reports using similar to PowerBI, PowerApps, Tableau and Flow
Interpersonal communication and presentation skills (leverage the data to tell a story)
Collaboration and Program Management skills

Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay Microsoft will accept applications for the role until August 20, 2025.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

#AITjobs

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We power people's progress.

At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalized learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact. So far, 90,000 tutors have delivered over 20 million lessons to learners in more than 175 countries. Every Preply lesson sparks change, fuels ambition, and drives progress that matters.

Meet the team!

As a Senior AI Scientist, you will lead the development of AI-driven personalized learning solutions and shape Preply's scientific roadmap. Working alongside exceptional scientists and engineers, you will architect state-of-the-art models and systems that enhance the experiences of millions of learners worldwide.

What you’ll be doing:

AI Research & Development: Apply deep learning, NLP, information retrieval (IR), LLMs, and multimodal AI to build and optimize scalable machine learning solutions for personalized learning and AI tutors.
Applied Science Execution: Work on cutting-edge AI models, contributing to research, prototyping, and deployment in production environments.
Cross-functional Collaboration: Partner with scientists, engineers, and product teams to deliver AI-driven solutions that improve learning experiences and business outcomes.
Mentorship & Knowledge Sharing: Support and mentor junior scientists and engineers, fostering an environment of learning and innovation.
Best Practices in ML: Contribute to machine learning best practices, including model architecture, research methodologies, and deployment pipelines.

What you need to succeed:

PhD NLP, IR, Machine Learning, or a related field (or equivalent experience)
4+ years of industry experience, focusing on deep learning-based NLP and IR applications.
Experience with retrieval models, ranking models, LLMs and retrieval-augmented generation (RAG).

Strong proficiency in deep learning frameworks such as PyTorch or TensorFlow.
Hands-on experience with cloud platforms (e.g., AWS, Google Cloud).
Ability to drive AI initiatives from research to production in a collaborative environment.

Strong problem-solving skills and a track record of building impactful AI solutions.
Passion for advancing AI-driven personalized learning experiences.
Eagerness to work in a fast-paced, cross-functional setting to bring AI research into real-world applications.

Why you’ll love it at Preply:

An open, collaborative, dynamic and diverse culture;
A generous monthly allowance for lessons on Preply.com, Learning & Development budget and time off for your self-development;
A competitive financial package with equity, leave allowance and health insurance;
Access to free mental health support platforms;
The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!).

Our Principles

Care to change the world - We are passionate about our work and care deeply about its impact to be life changing.
We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience.
Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters.
Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen.
Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently.
Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions.
Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks.
Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference.
Challenge, disagree and commit - We value open and candid communication, even when we don’t fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made.
One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress.

Diversity, Equity, and Inclusion

Preply is committed to creating a diverse and inclusive environment where people from all backgrounds can thrive. Different opinions and viewpoints are key ingredients in our success as a multicultural Ed-Tech company.

Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status. Together, we are The World Class.

#LI-DZ1

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Healthcare providers go into medicine to care for people, but end up losing valuable time each day to admin work and other workplace challenges. Time that could otherwise be spent helping patients. And patients end up suffering as a result. At Commure, we build solutions that simplify providers' lives and keep them connected to their patients so they can focus on doing what matters most: providing care.

Our innovative suite of software and hardware – augmented by advanced LLM AI, RTLS, and healthcare workflow automations – boosts efficiency across every domain of healthcare, freeing up healthcare providers to spend more of their time caring for patients. Our growing suite of technologies include staff duress alerting, asset tracking, patient elopement, revenue cycle management, clinical documentation and intake, provider copilots, patient engagement and communication, home health, remote patient monitoring, and more.

Today, we support over 250,000 clinicians across hundreds of care sites around the country. And we’re only just getting started: Healthcare’s watershed moment for AI-powered transformation is here – so join us in creating the technology to power healthcare!

About the Role

At Commure + Athelas, our Scribe team is at the forefront of revolutionizing healthcare technology by building Ambient AI solutions for the entire care journey. We're looking for a talented Fullstack Engineer to help take Ambient AI to the next level. If you love working on important, exciting problems in healthcare and love shipping quickly, come join us!

This full-time position requires working 5 days a week in our Mountain View, CA office.

What You’ll Do

Build end-to-end products to revolutionize Ambient AI for providers and administrators
Be a part of a tremendously fast-paced team that celebrates fast execution and decisions
Work across the entire software stack
Work with a stack that includes Python, Javascript, React, Flutter, Flask, and other frameworks
Work directly with customers to solve their issues daily

What You Have

[Required] Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent extensive experience
3+ years of professional software development industry experience
Strong Full-Stack programming skills (Must be comfortable with Python)
Very familiar with Frontend technologies (React, Flutter, Typescript, etc.)
Experience in environments where you have to ship quickly. We move fast.
General Understanding of Containers and Cloud (Docker, Kubernetes)
Excitement to work in a high impact field with a builder attitude!
Experience building production environments
- Alerting and reporting
- Metrics tracking
- Software reliability engineering
- Great product sense
Attention to detail around user experience and customer needs
Extremely motivated to grow
Strong leadership skills

Why you’ll love working at Commure + Athelas:

Highly Driven Team: We work hard and fast for exceptional results, knowing we’re doing mission-driven work to transform the country’s largest sector.
Strong Backing: We are backed by top investors including General Catalyst, Sequoia, Y Combinator, Lux, Human Capital, 8VC, Greenoaks Capital and Elad Gil.
Incredible Growth: Prior to our merger, Commure and Athelas had independently grown more than 500% YoY for three consecutive years. We’ve achieved Series D funding, have an industry-leading runway, and continue to scale rapidly.
Competitive Benefits: Flexible PTO (pending specific geographical locations) , medical, dental, vision, maternity and paternity leave. Note that benefits are subject to change and may vary based on jurisdiction.

Commure + Athelas is committed to creating and fostering a diverse team. We are open to all backgrounds and levels of experience, and believe that great people can always find a place. We are committed to providing reasonable accommodations to all applicants throughout the application process.

Please be aware that all official communication from us will come exclusively from email addresses ending in @getathelas.com, @commure.com or @augmedix.com. Any emails from other domains are not affiliated with our organization.

Employees will act in accordance with the organization’s information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis.

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Position Summary

Headquartered in Ridgefield Park, N.J., Samsung Electronics America, Inc. (SEA) is a leader in mobile technologies, consumer electronics, home appliances and enterprise solutions. The company pushes beyond the limits of today’s technology to provide groundbreaking connected experiences across its large portfolio of products and services, including mobile devices, home appliances, home entertainment, 5G networks and digital displays. As an eleven-time winner of EPA’s ENERGY STAR® Partner of the Year Award for Sustained Excellence, SEA is dedicated to making a positive impact on the environment through its eco-conscious products, practices and operations.

People\t| Excellence | Change\t | Integrity | Co-prosperity

Role and Responsibilities

eCommerce is evolving fast and so are customer expectations. Traditional UX with predetermined and predictable outcomes, recommendation engines and static storefronts are no longer enough. Shoppers today are looking for intuitive, personal, and human-like experiences, where they can simply share what they need, and the journey adapts in real time to their unique context and preferences, just like interacting with a helpful person.

At Samsung Electronics, we're answering that call not by optimizing the old, but by inventing the new by focusing on human-centered, intelligent experiences. We’re not following a playbook, we’re writing it. At the forefront of a transformative shift in digital commerce, we're shaping the direction of next-generation eCommerce, where AI isn’t just a tool, but the foundation of the entire buying experience.

This is the vision of Agentic eCommerce: a new paradigm where intelligent, autonomous AI agents don’t just recommend, they reason, learn, and act. These agents redefine how products are discovered, evaluated, and purchased, creating shopping experiences that are seamless, adaptive, and deeply personal.

If you're excited by the idea of building something entirely new, where AI changes not just what people buy, but how they buy, join us. Help pioneer the intelligent eCommerce systems of tomorrow.

As an Applied AI Engineer, you’ll be at the helm of the latest AI innovations shaping the future of eCommerce. You'll lead technical direction while ensuring that AI systems solve real-world business problems. You thrive on first-principles thinking, with demonstrable product and business sense.

Collaborate closely with business stakeholders to prioritize and build AI-native experiences that directly impact key metrics like conversion, engagement, and customer satisfaction and architect, implement, and deploy Generative AI and LLM-powered systems to dramatically enhance the product buying journey and deliver measurable business ROI.

Conduct competitive analysis, develop business models, and study industry trends to inform AI strategy and ensure solutions align with market demands and business objectives .
Collaborate with external partners to evaluate AI solutions and assess capabilities that support Samsung's eCommerce initiatives.
Drive the development of autonomous agents that deliver hyper-personalized and intelligent shopping experiences at scale.
Leverage Generative Engine Optimization (GEO) to enhance how products are surfaced, ranked, recommended, and seamlessly purchased within an AI-native, Agentic eCommerce environment.

Skills and Qualifications

PhD or Master’s in Computer Science, Machine Learning, Statistics, Mathematics, or a related field
10+ years of industry experience with focus on building machine learning and AI-native solutions and platforms
Proven experience leading AI product development at scale, driving business impact and delivering real-world value
Deep expertise in ML frameworks (e.g., TensorFlow, PyTorch) and programming languages, Python, C++
Strong technical foundation in deep learning, NLP, unsupervised learning, LLM compute time inference and reasoning, e.g. CoT prompting
Hands-on experience with Generative AI and LLMs, with a track record of delivering business-critical AI solutions
Expertise in distributed computing, GPU/multi-GPU training, and large-scale data processing
Ability to translate business needs into technical solutions and ensure alignment between AI initiatives and business goals (e.g., increasing conversion, improving personalization, optimizing ranking)
Strong problem-solving mindset and the ability to build scalable solutions that drive product and business outcomes
Exceptional communication skills, with the ability to articulate complex technical concepts and their business implications to both technical and non-technical stakeholders

#LI-HM1

Life @ Samsung - https://www.samsung.com/us/careers/life-at-samsung/

Benefits @ Samsung - https://www.samsung.com/us/careers/benefits/

The salary range for this role, for candidates based in California, is expected to be between $265,500 and $280,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.

Regular full-time employees (salaried or hourly) have access to benefits including: Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Tuition Assistance (after 6 months), Paid Time Off, Student Loan Program (after 6 months), Wellness Incentives, and many more. In addition, regular full-time employees (salaried or hourly) are eligible for MBO bonus compensation, based on company, division, and individual performance.

* Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.

At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.

* Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process

Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) or SEA_Accommodations_Ext@sea.samsung.com for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.

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We're Celonis, the global leader in Process Mining technology and one of the world's fastest-growing SaaS firms. We believe there is a massive opportunity to unlock productivity by placing data and intelligence at the core of business processes - and for that, we need you to join us.

The Role:

As an AI Deployment Architect, you will work directly with customers to understand their problems and design, deploy and scale innovative AI solutions and automations using our Process Intelligence platform. In a presales and post sales capacity you will work closely with other AI experts across Product & Engineering and GTM to standardize these solutions and bring them to our customer base at scale.

The role can be located out of any one of our Celonis offices. We are ideally looking for individuals with in-depth practical experience in delivering solutions to our customers.

The work you’ll do:

Pitch the Celonis AI value proposition and vision to customers and align our solutions with their AI strategy
Prototype, develop, deploy and scale AI solutions tailored to customer needs, including both traditional machine learning and LLM-based solutions
Identify and package scalable AI use cases across the Celonis platform, driving innovation and expanding our offerings
Collect and share AI success stories with the whole organization and our customers
Help define and lead execution on the roadmap for AI Lighthouse customers
Closely collaborate with Product & Engineering and the Business Apps Teams to inform future product development based on customer feedback
Train internal teams and help them position and deploy AI solutions
Design and architecting end-to-end deployments that encompass AI, PI & Automation

The preferred qualifications you need:

Proven experience developing AI solutions for enterprises, with a strong portfolio showcasing successful use cases solving real-world problems.
Proficiency in programming languages such as Python
Excellent problem-solving skills, analytical thinking, and attention to detail, with a track record of delivering high-quality solutions under tight deadlines.
Strong communication and collaboration skills, with the ability to translate complex concepts into actionable insights for non-technical stakeholders.
Experience in production level acceptance testing, delivering end-to-end solutions
Strong visionary architectural mindset to develop scalable & easily extensible solutions
Strong technical acumen to be able to choose the right AI solution / technology for the respective customer pain point
Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Econometrics or related field.

What Celonis Can Offer You:

Pioneer Innovation: Work with the leading, award-winning process mining technology, shaping the future of business.
Accelerate Your Growth: Benefit from clear career paths, internal mobility, a dedicated learning program, and mentorship opportunities.
Receive Exceptional Benefits: Including generous PTO, hybrid working options, company equity (RSUs), comprehensive benefits, extensive parental leave, dedicated volunteer days, and much more. Interns and working students explore your benefits here.
Prioritize Your Well-being: Access to resources such as gym subsidies, counseling, and well-being programs.
Connect and Belong: Find community and support through dedicated inclusion and belonging programs.
Make Meaningful Impact: Be part of a company driven by strong values that guide everything we do: Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future.
Collaborate Globally: Join a dynamic, international team of talented individuals.
Empowered Environment: Contribute your ideas in an open culture with autonomous teams.

About Us:

Celonis makes processes work for people, companies and the planet. The Celonis Process Intelligence Platform uses industry-leading process mining and AI technology and augments it with business context to give customers a living digital twin of their business operation. It’s system-agnostic and without bias, and provides everyone with a common language for understanding and improving businesses. Celonis enables its customers to continuously realize significant value across the top, bottom, and green line. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.

Get familiar with the Celonis Process Intelligence Platform by watching this video.

Celonis Inclusion Statement:

At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.

Your Privacy:

Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices

By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.

Please be aware of common job offer scams, impersonators and frauds. Learn more here.

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P-1439

As a Senior Applied ML/AI Engineer at Databricks, you will apply machine learning and optimization algorithms to improve the usability and efficiency of the current AutoML and several other user-facing products that will benefit from better classification, regression, forecasting, and recommendations, either classical or based on deep learning. From statistical models all the way down to deep and foundational models, feature augmentation and auto-tuning, our Applied ML/AI team works on some of the most complex, most interesting problems facing businesses, making Databricks' infrastructure and products as performant and cost-efficient as possible. This is a high-impact problem as our customers look at us to deliver the most out of their data.

The impact you will have:

Build features and run end-to-end systems in a small team of experienced engineers and data scientists.
Shape the direction of our applied ML investment by engaging with engineering and product teams across the company.
Drive the development and deployment of state-of-the-art ML/AI models and systems that directly impact the capabilities and performance of Databricks’ products, infrastructure, and services.
Architect and implement robust, scalable ML infrastructure, including model training and serving components to support seamless integration of AI/ML models into production environments.
Work on novel modeling techniques in the field of ML for forecasting.
Possibilities to contribute to the broader AI community by presenting at conferences and actively participating in open source projects, enhancing Databricks’ reputation as an industry leader.

What we look for:

2-8 years of machine learning engineering experience in high-velocity, high-growth companies
Strong understanding of both computer systems and statistics
Experience developing AI/ML systems at scale in production
Strong track record of ML modeling that goes beyond using standard libraries.
Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews, and deployment.
A large breadth of knowledge or willingness to develop mathematical modelling beyond the ML.
Nice to have: experience deploying, scaling, and monitoring models in production; understanding of the unique infrastructure challenges posed by training and serving predictions in Tier 0 environments.

Why Join Us?

At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.

If you're excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you!

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/4510121004

DO NOT APPLY BELOW

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.

Our interview process involves several technical interviews and we aim to complete them within 1 week.

\nWhat You’ll Do\n

Researching and implementing state-of-the-art in NLP and TTS or CV with a focus on image generation
Work on building the most human sounding AI speech model in the world

\nAn Ideal Candidate Should Have\n

Experience with research and development in NLP or TTS or CV with a focus on image generation.
Experience in ML
Preferred:\n
- Experience deploying NLP or TTS models to production at a large scale
- Experience managing engineers and growing a research & development team
- Experience programming in Python: Tensorflow and PyTorch frameworks specifically.
\n

What We Offer

A fast-growing environment where you can help shape the culture
An entrepreneurial crew that supports risk, intuition, and hustle
A hands-off approach so you can focus and do your best work
The opportunity to make an impact in a transformative industry
A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture

Salary

The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you’re a good fit for this job?

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit?

Refer them!

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

","hiringOrganization":{"@type":"Organization","name":"Speechify","sameAs":"https://speechify.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Portland, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":34,"item":{"@type":"JobPosting","title":"Applied AI Engineer & Researcher","datePosted":"2025-08-20","description":"

PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/4510121004

DO NOT APPLY BELOW

The mission of Speechify is to make sure that reading is never a barrier to learning.

Our interview process involves several technical interviews and we aim to complete them within 1 week.

\nWhat You’ll Do\n

Researching and implementing state-of-the-art in NLP and TTS or CV with a focus on image generation
Work on building the most human sounding AI speech model in the world

\nAn Ideal Candidate Should Have\n

Experience with research and development in NLP or TTS or CV with a focus on image generation.
Experience in ML
Preferred:\n
- Experience deploying NLP or TTS models to production at a large scale
- Experience managing engineers and growing a research & development team
- Experience programming in Python: Tensorflow and PyTorch frameworks specifically.
\n

What We Offer

A fast-growing environment where you can help shape the culture
An entrepreneurial crew that supports risk, intuition, and hustle
A hands-off approach so you can focus and do your best work
The opportunity to make an impact in a transformative industry
A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture

Salary

The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you’re a good fit for this job?

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit?

Refer them!

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

","hiringOrganization":{"@type":"Organization","name":"Speechify","sameAs":"https://speechify.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Raleigh-Durham, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":35,"item":{"@type":"JobPosting","title":"Applied AI Engineer & Researcher","datePosted":"2025-08-20","description":"

PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/4510121004

DO NOT APPLY BELOW

The mission of Speechify is to make sure that reading is never a barrier to learning.

Our interview process involves several technical interviews and we aim to complete them within 1 week.

\nWhat You’ll Do\n

Researching and implementing state-of-the-art in NLP and TTS or CV with a focus on image generation
Work on building the most human sounding AI speech model in the world

\nAn Ideal Candidate Should Have\n

Experience with research and development in NLP or TTS or CV with a focus on image generation.
Experience in ML
Preferred:\n
- Experience deploying NLP or TTS models to production at a large scale
- Experience managing engineers and growing a research & development team
- Experience programming in Python: Tensorflow and PyTorch frameworks specifically.
\n

What We Offer

A fast-growing environment where you can help shape the culture
An entrepreneurial crew that supports risk, intuition, and hustle
A hands-off approach so you can focus and do your best work
The opportunity to make an impact in a transformative industry
A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture

Salary

The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you’re a good fit for this job?

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit?

Refer them!

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

","hiringOrganization":{"@type":"Organization","name":"Speechify","sameAs":"https://speechify.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Minneapolis-St. Paul, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":36,"item":{"@type":"JobPosting","title":"Manager, Applied AI Engineering","datePosted":"2025-08-20","description":"

12-15 yrs experience in designing, developing and supporting enterprise-grade SaaS products using Microsoft stack on Azure. Must have the ability to plan for quality, security, scalability, performance, cost, operability and supportability.
A C#/ASP.NET/Javascript/MVC guru with the ability to understand complex domain problems and churn out a PoC quickly.
Good knowledge of Client-side scripting â€“ JavaScript and JQuery, Kendo.
Experience with GenAI technologies is highly desirable.
Knowledge of design patterns is required.
Good communication skills to present ideas and solutions and analytical abilities to troubleshoot issues.
Mentor technical teams.

","hiringOrganization":{"@type":"Organization","name":"Icertis","sameAs":"https://www.icertis.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pune, Maharashtra, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":37,"item":{"@type":"JobPosting","title":"Applied AI ML Senior Associate","datePosted":"2025-07-21","description":"

We're seeking top talents for our AI engineering team to develop high-quality machine learning models, services, and scalable data processing pipelines. Candidates should have a strong computer science background and be ready to handle end-to-end projects, focusing on engineering.

As an Applied AI ML Senior Associate within the Digital Intelligence team at JPMorgan, collaborate with all lines of business and functions to deliver software solutions. Experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant impact on technology and business. Design and implement highly scalable and reliable data processing pipelines. Perform analysis and insights to promote and optimize business results. Contribute to a transformative journey and make a substantial impact on a wide range of customer products.

Job Responsibilities

Research, develop, and implement machine learning algorithms to solve complex problems related to personalized financial services in retail and digital banking domains.
Work closely with cross-functional teams to translate business requirements into technical solutions and drive innovation in banking products and services.
Collaborate with product managers, key business stakeholders, engineering, and platform partners to lead challenging projects that deliver cutting-edge machine learning-driven digital solutions.
Conduct research to develop state-of-the-art machine learning algorithms and models tailored to financial applications in personalization and recommendation spaces.
Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results, and productionize highly performant, scalable, trustworthy, and often explainable solutions.
Collaborate with data engineers and product analysts to preprocess and analyze large datasets from multiple sources.
Stay up-to-date with the latest publications in relevant Machine Learning domains and find applications for the same in your problem spaces for improved outcomes.
Communicate findings and insights to stakeholders through presentations, reports, and visualizations.
Work with regulatory and compliance teams to ensure that machine learning models adhere to standards and regulations.
Mentor Junior Machine Learning associates in delivering successful projects and building successful careers in the firm.
Participate and contribute back to firm-wide Machine Learning communities through patenting, publications, and speaking engagements.

Required qualifications, capabilities and skills

Expert in at least one of the following areas: Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis.
Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics.
Demonstrated expertise in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn.
Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc.
Strong analytical and critical thinking skills for problem solving.
Excellent written and oral communication along with demonstrated teamwork skills.
Demonstrated ability to clearly communicate complex technical concepts to both technical and non-technical audiences
Experience in working in interdisciplinary teams and collaborating with other researchers, engineers, and stakeholders.
A strong desire to stay updated with the latest advancements in the field and continuously improve one's skills

Preferred qualification, capabilities and skills

Deep hands-on experience with real-world ML projects, either through academic research, internships, or industry roles.
Experience with distributed data/feature engineering using popular cloud services like AWS EMR
Experience with large scale training, validation and testing experiments.
Experience with cloud Machine Learning services in AWS like Sagemaker.
Experience with Container technology like Docker, ECS etc.
Experience with Kubernetes based platform for Training or Inferencing.
Contributions to open-source ML projects can be a plus.
Participation in ML competitions (e.g., Kaggle) and hackathons demonstrating practical skills and problem-solving abilities.
Understanding of how ML can be applied to various domains like healthcare, finance, robotics, etc.

","hiringOrganization":{"@type":"Organization","name":"JPMorgan Chase & Co.","sameAs":"https://www.jpmorganchase.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad, Telangana, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":38,"item":{"@type":"JobPosting","title":"Technical Manager – Applied AI/ML","datePosted":"2025-07-21","description":"

Company Description

Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.

Job Description

Job Summary -

Bosch Research in India is seeking an accomplished and visionary Technical Manager with deep expertise in Applied AI/ML, a strong commercial delivery mindset, and a demonstrated ability to lead highly competent technical teams. This role is ideal for professionals who have successfully delivered enterprise-grade AI/ML solutions and are ready to scale their impact by leading innovation from experimentation and PoC to robust production systems.

You will be instrumental in defining and executing strategic initiatives in areas like time-series analysis, process curve modeling, tabular data mining, foundation models and GenAI, while maintaining a focus on reliable, transparent, and responsible AI practices.

Roles & Responsibilities:

AI/ML Research and Development

Lead the development of advanced machine learning models focused on time-series data analysis, anomaly detection, and forecasting.
Design and implement models for process curve analysis and structured/tabular datasets with strong feature engineering.
Drive innovation in deep learning applications including foundation models, multi-modal LLMs, RAG (Retrieval-Augmented Generation), and Agentic AI frameworks.
Build and refine end-to-end ML systems for production, with an emphasis on reproducibility, scalability, and performance.

From Prototype to Enterprise Delivery

Manage the entire AI/ML development lifecycle from research experiments and PoCs to high-quality, enterprise-ready deployments.
Align model outputs and insights with real-world use cases in industrial domains such as manufacturing, mobility, and automation.
Translate technical capabilities into commercially valuable IP, solutions, and assets.

Technical Leadership and Team Management

Lead a compact, high-impact team of machine learning engineers and data scientists.
Foster a culture of engineering excellence, knowledge sharing, and continuous learning.
Develop and own the technical roadmap, aligning team deliverables with Bosch’s strategic priorities.
Guide hiring, performance management, training, and team capability development.

Enterprise-Grade Engineering and Operations

Architect and maintain robust CI/CD pipelines tailored for machine learning lifecycle management.
Design and manage automated workflows for data ingestion, model training, evaluation, and monitoring.
Ensure models meet performance, reliability, and explainability requirements in production environments.
Promote reproducibility and strong documentation across workflows and pipelines.

Customer Engagement and Collaboration

Act as the primary technical point of contact for customer engagements, gathering requirements, understanding challenges, and ensuring satisfaction.
Manage project delivery across cross-functional, geographically distributed teams.
Represent the AI/ML practice within Bosch’s global research and business ecosystem.

Qualifications

Why Bosch Research?

At Bosch Research, you will work on solving real-world industrial problems with the full support of Bosch’s global innovation network. This role combines deep technical execution with strategic leadership, offering the unique opportunity to shape the future of AI/ML at Bosch and beyond.

","hiringOrganization":{"@type":"Organization","name":"Bosch Group","sameAs":"https://www.bosch.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru , India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":39,"item":{"@type":"JobPosting","title":"Product Data Scientist - Applied AI","datePosted":"2025-07-02","description":"Data Cycling Center (DCC) is a Data Science team that develops AI-driven content (unstructured data) understanding capabilities, identifies business opportunities from the understanding, and builds products and solutions to capture those opportunities.
\n
\nOur mission is to simplify the acquisition and utilization of unstructured/unlabeled data. The team act as the data modeling factory, using and analyzing mass data and finding useful insights for business growth.
\n
\nAbout the role
\nAs an Applied Al Data Scientist at the Applied AI team, you'll work at the intersection of data science, algorithm innovation, and content ecosystem research. You will collaborate closely with product and algorithm teams to identify actionable insights and build scalable solutions that improve user experience, strengthen content integrity, and support strategic decision-making.
\n
\nKey Responsibilities:
\n• Apply data science methods and statistical theory to analyze TikTok's content ecosystem and recommend strategies for improvement.
\n• Design and define core KPI metrics that measure the health, stability, and fairness of content systems; evaluate trade-offs across different strategies or product interventions.
\n• Use statistical sampling methods to determine appropriate sample sizes and ensure core metric robustness.
\n• Build frameworks to assess multi-business content flows, balancing risks from negative content while promoting positive content signals.
\n• Conduct quantitative research using causal inference, statistical modeling, and experimentation to detect risks and opportunities in the content ecosystem and propose strategic improvement plans supported by unbiased data-driven indicators.","hiringOrganization":{"@type":"Organization","name":"TikTok","sameAs":"https://www.tiktok.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Singapore, Singapore","addressCountry":"Singapore","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":40,"item":{"@type":"JobPosting","title":"Applied Data Scientist - Applied AI","datePosted":"2025-07-02","description":"Data Cycling Center (DCC) is a Data Science team that develops AI-driven content (unstructured data) understanding capabilities, identifies business opportunities from the understanding, and builds products and solutions to capture those opportunities.
\n
\nOur mission is to simplify the acquisition and utilization of unstructured/unlabeled data. The team act as the data modeling factory, using and analyzing mass data and finding useful insights for business growth.
\n
\nAbout the Role:
\nWe are looking for experienced data scientists to join our team and apply advanced analytics and machine learning techniques-including Prompt Engineering (PE), multi-modal large language models (LLMs), computer vision (CV), natural language processing (NLP), and audio signal processing-to optimize intelligent labeling workflows and data products within TikTok's ecosystem. Your work will help improve user experience, enhance content integrity, and support data-driven strategic decision-making. You will collaborate closely with cross-functional teams across product, operations, and algorithms to build scalable, end-to-end Prompt Engineering and LLM workflows for intelligent content moderation and labeling applications.
\n
\nKey Responsibilities:
\n• Collaborate with cross-functional stakeholders to gather and refine requirements for data labeling projects and identify opportunities for optimization through data-driven solutions.
\n• Design and manage the full lifecycle of end-to-end data labeling and policy testing workflows — from aligning with business needs to deployment, iteration, and monitoring.
\n• Establish and maintain a centralized knowledge base for Retrieval-Augmented Generation (RAG) systems, incorporating both structured (e.g., SOPs, guidelines) and unstructured (e.g., annotations, case logs) data to support LLM-based policy QA and labeling efforts.
\n• Operationalize intelligent labeling pipelines leveraging Prompt Engineering, agent-based workflows, and labeling models to ensure availability of high-quality data for model training and policy evolution.
\n• Translate complex policy documents into machine- and human-readable formats, support agent and PE strategy development, and evolve nuanced policy edge cases in sync with fast-changing regulatory or platform dynamics.
\n• Apply multi-modal LLM techniques to extract latent signals from content that inform moderation strategies and highlight policy gaps.
\n• Lead applied ML and data science research and experimentation to solve business-critical use cases.
\n• Own the model lifecycle from data sourcing and preprocessing to training, deployment, and post-launch maintenance.","hiringOrganization":{"@type":"Organization","name":"TikTok","sameAs":"https://www.tiktok.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Singapore, Singapore","addressCountry":"Singapore","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":41,"item":{"@type":"JobPosting","title":"Applied AI, Partner Solutions Architect","datePosted":"2025-08-01","description":"

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

\n\n

As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our cloud partners (AWS and GCP), and our non-cloud partners to include Global System Integrators (GSIs) and Regional System Integrators (RSIs). You will be focused on strengthening our relationships with key partners to accelerate indirect revenue and execute on long term GTM strategy.

Responsibilities:

Be a strategic technical thought partner to the Anthropic partnerships team, providing technical expertise to better understand the partner landscape, and driving key strategic programs with our partners
Embed with partner technical teams to support troubleshooting and evangelize Anthropic in our partner’s developer communities e.g. participation in slack channels. Be the interface with technical champions groups (e.g. Claude champions), serve an escalation point, and evangelize developer communities in our partners
Intervene directly to unblock strategic customer deals with partners
Collaborate with cloud and non-cloud partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment
Represent Anthropic at partner events such as AWS summits (partnering closely with the Ministry of Education for technical education). Lead partner-specific developer events or hackathons, especially for the more technically native start-up community
Validate and gather feedback on Anthropic’s products and offerings, especially as they relate to the use of our products through partners, and deliver this feedback to relevant Anthropic teams

You may be a good fit if you have:

5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager
Experience working with cloud providers and/or system integrators to solve complex technical projects
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

\n\n

Deadline to apply: None. Applications will be reviewed on a rolling basis.

The expected salary range for this position is:

Annual Salary:$170,000—$255,000 USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

","hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":42,"item":{"@type":"JobPosting","title":"Applied AI Engineer – Experience Innovation","datePosted":"2025-07-21","description":"

About Ledger Investing

Ledger is a Y Combinator-backed Insurtech startup transforming how insurance risk is financed. Ledger is building a marketplace that enables re/insurers to transfer risk to capital markets investors – we have originated over $2 billion of premium volume to institutional investors. Insurance securitization is on the path to becoming a $100 billion market but has been limited by opacity and complexity. Ledger is expanding this market by building a seamless data platform that powers the marketplace, as well as reports and analytics that insurers and investors need to transact. Our $75 million Series B investment funding has successfully set us up for long-term growth.

About the Team:

The engineering platform team is a remote-first team building the web platforms, data infrastructure, and developer APIs that shape how people understand and handle billions of dollars of insurance risk
Engineers at Ledger have the opportunity to touch every part of the tech stack
We collaborate frequently with product thinkers, designers, sales, and domain experts to carefully craft valuable customer experiences
We believe in collaboration, communicating often, and treating others with kindness and respect
We believe everyone should have significant ownership and measurable impact
We believe in continuously improvement and constantly evaluate what works and what doesn’t
We believe in using modern tooling and technology to deliver the best developer experience possible

About the Role:

Join us in shaping the future of AI-driven experiences! We're looking for an Applied AI Engineer to push the boundaries of how users interact with technology. You'll have the opportunity to apply cutting-edge AI to create intuitive and innovative products that solve real-world problems. The ideal candidate is a proactive problem-solver with a passion for AI and a knack for turning complex ideas into elegant user experiences. You're excited to work in a fast-paced environment, embrace new challenges, and collaborate with a team of like-minded innovators to redefine how people interact with technology.

On the engineering team, you will

Design, develop, and optimize AI-powered experiences, with a focus on conversational AI systems that deliver value through natural language interfaces
Create prototypes that demonstrate innovative applications of AI technologies
Collaborate with product, design, and business teams to identify opportunities where AI can enhance user experiences
Implement and refine agentic workflows using frameworks to create autonomous AI agents
Build chat-based user interfaces using modern web technologies
Optimize AI solutions for performance, cost, and user experience

Technical Implementation Focus:

Text analysis and language generation systems
Image analysis pipelines for text and table extraction
Systems that translate natural language into structured representations, such as mathematical formulas
Chat-based user interfaces and components using React and Tailwind
AI model evaluation, optimization, and deployment

Qualifications:

5+ years of experience in backend or full-stack software development
Experience deploying AI solutions in production, with familiarity across cloud platforms (Vercel, Railway, Modal, AWS, GCP, Azure)
Built user interfaces with React and Tailwind CSS
Deep understanding of LLMs (OpenAI, Gemini, Claude, Mistral) and ability to evaluate, optimize, and select the right model for a given task
Experience with RAG systems (LangChain, LlamaIndex) and vector databases (Pinecone, Weaviate, Qdrant) for semantic search
Knowledge of agentic workflow frameworks (e.g., MCP, A2A, AutoGen, CrewAI, PydanticAI, LangGraph)
Proficient with model evaluation techniques, MLOps practices, and AI-assisted dev tools (Cursor, Claude Code, Zed, Devin)
Experience using text-to-app platforms (v0, Replit, Figma Make) for rapid prototyping
Background in image analysis, especially text and table extraction
Contributions to open-source AI projects
Strong problem-solving and communication skills

Benefits:

Competitive salary, bonus potential, and equity compensation
Work from anywhere. We’re flexible. Our headquarters is in New York, but this position can be fully remote or hybrid.
Uncapped paid time off
Paid Holidays
401k
Medical, dental, and vision insurance - multiple plans to choose from
Company paid Life and AD&D insurance
ClassPass - We contribute to your monthly membership offering a large range of providers & services in Fitness and Wellness. Get a massage on us!
Up to $2,500 paid by Ledger towards your dream desk setup! Customize what works for you.

For US based positions:

Ledger Investing is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. We strictly prohibit and do not tolerate discrimination against employees, applicants, or any other covered persons because of race, color, religion, creed, national origin or ancestry, ethnicity, sex, gender (including gender nonconformity and status as a transgender or transsexual individual), sexual orientation, marital status, age, physical or mental disability, citizenship, past, current or prospective service in the uniformed services, predisposing genetic characteristic, domestic violence victim status, arrest records, or any other characteristic protected under applicable federal, state or local law.

","hiringOrganization":{"@type":"Organization","name":"Ledger Investing","sameAs":"https://www.ledgerinvesting.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote in United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":43,"item":{"@type":"JobPosting","title":"Applied AI Engineer, Enterprise GenAI","datePosted":"2025-08-07","description":"

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP).

The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you’ll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins. Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you’ll use to improve your product’s performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you!

\n
\n

You will:

Own, plan, and optimize the AI behind our Enterprise customer’s deepest technical problems
Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more
Have experience gathering business requirements and translating them into technical solutions
Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs
Push production code in multiple development environments, writing and debugging code directly in both our customer’s and Scale’s codebases.
Be able and willing to multi-task and learn new technologies quickly

Ideally you'd have:

A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client’s business goals
Strong engineering background: a Bachelor’s degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background.
Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results
Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas)

Nice to haves:

Strong knowledge of software engineering best practices
Have built applications taking advantage of Generative AI in real, production use cases
Familiarity with state of the art LLMs and their strengths/weaknesses

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$168,200—$248,500 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

","hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":44,"item":{"@type":"JobPosting","title":"Product Manager - Safety Applied AI","datePosted":"2025-08-06","description":"

Who we are

Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.

Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, Equipment Monitoring, and Site Visibility. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term.

About the role:

We’re looking for an entrepreneurial, technically-minded Product Manager to take one of our largest and fastest-growing businesses - Video-based Safety - to the next level. This is a high-ownership role launching new safety products for our customers, leveraging data from our millions of deployed devices.

The Safety team is pioneering the application of AI to make physical operations safer at global scale. We build intelligent systems that combine computer vision, sensor data, road context, and behavioral patterns to detect risk and prevent accidents before they happen for some of the largest fleets in the world. In this role, you’ll leverage cutting-edge VLMs and LLMs to rapidly expand our understanding of the road and unlock new business opportunities. You'll be empowered to experiment boldly, challenge conventional thinking, and demonstrate the transformative potential of AI tools across the organization.

We’re looking for someone with a high degree of customer-obsession and a passion for changing the physical world. The ideal candidate has spent time as a founder or early startup engineer / PM with experience applying AI/ML to solve customer problems, and has deeply integrated AI tools into their daily workflows. You'll collaborate closely with our dedicated teams in Engineering and Design, as well as work cross-functionally with Sales, Marketing, and Customer Success to propel the next wave of growth for our video-based safety product.

Our ambitions for this product are high, and we're excited to invite you to join us!

This is a remote position open to candidates residing in the United States.

In this role, you will:

Work with our talented engineering teams to launch new products to help drive a fast-growing, at-scale business with $1 Billion+ in ARR.
Collaborate closely with customers to deeply understand their business, their product feedback, and inform our roadmap.
Identify new product opportunities and own them from concept to launch.
Lead by example in using AI tools to accelerate product development, customer research, and decision-making
Partner with our Sales team to help close strategic customer accounts as needed.
Champion, role model, and embed Samsara’s cultural values (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally.

You should apply if:

You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper-growth environment.
You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, innovative ideas for our customers.
You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-caliber team that will encourage you to do your best.

Minimum requirements for the role:

2+ years in a product management or product-oriented engineering role.
Demonstrated experience and passion working on products that leverage AI/ML/CV.
Strong technical background, ability to grasp technical concepts, and establish credibility with engineers.
Comfort with ambiguity and a bias toward action - you'd rather try something and learn than wait for perfect information
Experience using LLMs/VLMs to enhance your own productivity and problem-solving approach
Bias-to-action and hands-on experience delivering business results.
Ability to navigate ambiguity and deliver high-quality product experiences on tight timelines and in line with our business aspirations.

An ideal candidate also has:

Entrepreneurial experience.
Bachelors or Masters degree in a technical field.
Deep experience creating and growing products leveraging video data.
Examples of how you've used AI tools to solve problems in creative ways.
Experience in autonomous vehicles, robotics, physical operations, or on products with a vertically integrated hardware + software stack.
Familiarity with B2B SaaS products and working with B2B sales teams.

The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience.$115,600—$167,000 USD

At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact.

Benefits

Full time employees receive a competitive total compensation package along with employee-led remote and flexible working, health benefits, Samsara for Good charity fund, and much, much more. Take a look at our Benefits site to learn more.

Accommodations

Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process.

Flexible Working

At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.

Fraudulent Employment Offers

Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in ‘@samsara.com’ or ‘@us-greenhouse-mail.io’. For more information regarding fraudulent employment offers, please visit our blog post here.

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Who we are

About the role:

Our ambitions for this product are high, and we're excited to invite you to join us!

This is a remote position open to candidates residing in Canada.

In this role, you will:

Work with our talented engineering teams to launch new products to help drive a fast-growing, at-scale business with $1 Billion+ in ARR.
Collaborate closely with customers to deeply understand their business, their product feedback, and inform our roadmap.
Identify new product opportunities and own them from concept to launch.
Lead by example in using AI tools to accelerate product development, customer research, and decision-making
Partner with our Sales team to help close strategic customer accounts as needed.
Champion, role model, and embed Samsara’s cultural values (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally.

You should apply if:

You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper-growth environment.
You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, innovative ideas for our customers.
You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-caliber team that will encourage you to do your best.

Minimum requirements for the role:

2+ years in a product management or product-oriented engineering role.
Demonstrated experience and passion working on products that leverage AI/ML/CV.
Strong technical background, ability to grasp technical concepts, and establish credibility with engineers.
Comfort with ambiguity and a bias toward action - you'd rather try something and learn than wait for perfect information
Experience using LLMs/VLMs to enhance your own productivity and problem-solving approach
Bias-to-action and hands-on experience delivering business results.
Ability to navigate ambiguity and deliver high-quality product experiences on tight timelines and in line with our business aspirations.

An ideal candidate also has:

Entrepreneurial experience.
Bachelors or Masters degree in a technical field.
Deep experience creating and growing products leveraging video data.
Examples of how you've used AI tools to solve problems in creative ways.
Experience in autonomous vehicles, robotics, physical operations, or on products with a vertically integrated hardware + software stack.
Familiarity with B2B SaaS products and working with B2B sales teams.

Benefits

Accommodations

Flexible Working

Fraudulent Employment Offers

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As part of the Commercial & Investment Bank, J.P. Morgan Payments enables organizations of all sizes to execute transactions efficiently and securely, transforming the movement of information, money and assets. We tackle complex challenges at every stage of the payment lifecycle and our industry-leading solutions facilitate seamless transactions across borders, industries and platforms. Operating in over 160 countries and handling more than 120 currencies, we are the largest processor of USD payments, with a daily transaction volume of $10 trillion.

As a Vice President Applied AI/ML Scientist within our payment solutions team, you will be instrumental in utilizing artificial intelligence and machine learning technologies to augment our services and stimulate business expansion. Your role will involve researching, experimenting, developing, and implementing high-quality machine learning models, services, and platforms to streamline payment processes, bolster fraud detection, and enrich customer experience. You will also be tasked with designing and executing highly scalable and dependable data processing pipelines, conducting analysis, and deriving insights to boost and optimize business outcomes. Collaborating with cross-functional teams to pinpoint opportunities for AI/ML applications within the payments ecosystem will also be a part of your responsibilities.

Job Responsibilities:

Actively collaborate with Product, Technology, and other cross-functional teams to gain a deep understanding of complex business problems and formulate data-driven solutions to address these challenges in key areas of the payments’ domain.
Design, develop, and deploy machine learning and AI solutions that meet success metrics aligned with business goals, while considering constraints such as model complexity, scalability, and latency.
Partner with Risk and Compliance teams to ensure comprehensive model documentation, track performance metrics, and maintain adherence to regulatory compliance standards.
Translate model outcomes into business impact metrics and communicate complex concepts to senior management and stakeholders.

Required qualifications, capabilities, and skills:

Master’s degree in a quantitative discipline (e.g., Computer Science, Data Science, Mathematics/Statistics, or Operations Research) with a minimum of 6 years of industry experience. Experience with Shell Scripting, Jupyter notebook/Lab, SQL, PySpark, and AWS Cloud Services is required.
Proficient in Python with hands-on experience in Machine learning and Deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., NumPy, Scikit-Learn, Pandas). Experience with Jupyter Notebook/Lab is essential.
6+ years of extensive experience working in ML domains like Fraud prevention, Trust and Safety, Ads, Recommender systems with hands on experience working with both numerical and textual or image data.
Solid Understanding and past experience applying ML models including decision trees, random forests, neural networks, graph models and Large Language Models (LLMs).
Proficient in both basic and advanced exploratory data analysis (EDA), with an understanding of the limitations and implications of different methodologies.
Ability to set the analytical direction for projects, transforming vague business questions into structured analytical plans. You possess strong cognitive and communication skills, characterized by clear and articulate expression. You excel at identifying core issues, bringing order to chaos, synthesizing insights, and driving decisive outcomes.
Bring an AI-ML first thinking to our Fraud and Risk solutions and thus achieving Operational Excellence across the Organization.

Preferred Qualifications, capabilities and skills

Experience in the financial services industry, particularly within investment banking operations.
Past experience working in Fraud prevention and Trust & Safety is a plus.
Past experience working on Commercial Fraud/Risk solutions is a plus.
Cloud computing: Amazon Web Service, Azure, Docker, Kubernetes, DataBricks, Snowflakes.

\n\n

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

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We power people's progress.

Meet the team!

What you’ll be doing:

AI Research & Development: Apply deep learning, NLP, information retrieval (IR), LLMs, and multimodal AI to build and optimize scalable machine learning solutions for personalized learning and AI tutors.
Applied Science Execution: Work on cutting-edge AI models, contributing to research, prototyping, and deployment in production environments.
Cross-functional Collaboration: Partner with scientists, engineers, and product teams to deliver AI-driven solutions that improve learning experiences and business outcomes.
Mentorship & Knowledge Sharing: Support and mentor junior scientists and engineers, fostering an environment of learning and innovation.
Best Practices in ML: Contribute to machine learning best practices, including model architecture, research methodologies, and deployment pipelines.

What you need to succeed:

PhD NLP, IR, Machine Learning, or a related field (or equivalent experience)
4+ years of industry experience, focusing on deep learning-based NLP and IR applications.
Experience with retrieval models, ranking models, LLMs and retrieval-augmented generation (RAG).

Strong proficiency in deep learning frameworks such as PyTorch or TensorFlow.
Hands-on experience with cloud platforms (e.g., AWS, Google Cloud).
Ability to drive AI initiatives from research to production in a collaborative environment.

Strong problem-solving skills and a track record of building impactful AI solutions.
Passion for advancing AI-driven personalized learning experiences.
Eagerness to work in a fast-paced, cross-functional setting to bring AI research into real-world applications.

Why you’ll love it at Preply:

An open, collaborative, dynamic and diverse culture;
A generous monthly allowance for lessons on Preply.com, Learning & Development budget and time off for your self-development;
A competitive financial package with equity, leave allowance and health insurance;
Access to free mental health support platforms;
The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!).

Our Principles

Care to change the world - We are passionate about our work and care deeply about its impact to be life changing.
We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience.
Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters.
Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen.
Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently.
Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions.
Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks.
Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference.
Challenge, disagree and commit - We value open and candid communication, even when we don’t fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made.
One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress.

Diversity, Equity, and Inclusion

#LI-DZ1

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About Anthropic

About the role

As a member of the Applied AI team at Anthropic, you will drive the adoption of frontier AI by developing bespoke LLM solutions for top enterprises across Japan. You’ll leverage your customer-facing experience and technical skills to architect innovative solutions that address our customers' business needs, meet their technical requirements, and provide a high degree of reliability and safety.

In collaboration with the Sales, Product, and Engineering teams, you’ll help enterprise partners incorporate leading-edge AI systems into their products. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards.

Responsibilities:

Act as the primary technical advisor for prospective customers across Japan evaluating Claude. Demonstrate how Claude can be used to solve high value business problems by developing system architectures and leveraging novel prompting techniques
Partner closely with account executives to understand customer requirements. Configure Claude's capabilities to showcase how it meets the customer's needs. Develop customized pilots and prototypes, as well as evaluation suites to make the case for customer adoption
Drive technical decision making by advising on optimal setup, architecture, and integration of Claude into the customer's existing infrastructure
Recommend solutions to technical roadblocks
Support customer onboarding across Japan by working cross-functionally to ensure successful ramp and adoption. Serve as an ongoing technical advisor throughout implementation and beyond go-live
Travel occasionally to customer sites for workshops, implementation support, and building relationships
Establish a shared vision for creating solutions that enable beneficial and safe AI
Lead the vision, strategy, and execution of innovative solutions that leverage our latest models’ capabilities across Japan

You may be a good fit if you have:

4+ years of experience as a Technical Product Manager, Forward Deployed Engineer, or Platform Engineer
Native-level Japanese fluency and business-level English required
Designed novel and innovative solutions for technical platforms in a developing business area across Japan
Strong technical aptitude to partner with engineers and strong proficiency in Python required
Recent experience building production systems with large language models
The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

\n\n

Deadline to apply: None. Applications will be reviewed on a rolling basis.

Logistics

How we're different

Come work with us!

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About Faire

Faire is an online wholesale marketplace built on the belief that the future is local — independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants.

By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.

About the Role

As an Applied AI/ML Scientist on the Search Group, you’ll work with world-class machine learning scientists to execute the ML algorithm strategy and system design powering one of the most critical levers for customer value and company growth—Search. You’ll collaborate on the advancement of real-time Search and Recommendation systems behind our next-generation shopping experiences.

You’ll operate at the forefront of algorithms—combining large language models, natural-language processing, query understanding, deep learning, transformer-based sequential modeling, graph neural networks, and structured behavioral data to return hyper-relevant, personalized products and brands for any given query.

This is a rare opportunity to work on end-to-end Search/Recommendation in a high-scale, deeply multi-modal environment, where we bring together the top talents from companies including Google, Meta, Amazon, LinkedIn, Uber, Airbnb, Salesforce, Twitter, Square, Pinterest, Instacart, and Coupang.

What You’ll Do

Contribute to the next-generation Search engine, integrating LLMs, query understanding, dense vector retrieval, deep personalization embeddings, multi-stage ranking, and reinforcement learning to serve personalized product feeds with <100 ms latency.
Design and productionize natural-language search and discovery systems, enabling intelligent agents to generate relevant and personalized collections, explain search results, and assist retailers in browsing, filtering, and evaluation.
Collaborate on model development and GPU-based deployment efforts, leveraging frameworks like Triton to scale inference reliably and efficiently.

You’re a Great Fit If You Have…

1-3 years of industry or research experience using machine learning to solve real-world problems, ideally including work in search, recommendations, or ads ranking.
Hands-on experience with deep-learning libraries (e.g., PyTorch) and vector-search infrastructure (e.g., Faiss, ScaNN, Pinecone).
A strong track record of productionizing models that blend LLMs (e.g., BERT, GPT-class) with structured features to drive personalization.
A product-focused mindset and a bias toward execution—you move quickly from paper to prototype to production.
Strong Python skills, deep respect for system reliability and ownership, and experience operating in high-stakes environments.
Excellent communication and cross-functional influence—you raise the technical bar beyond your immediate team.

Bonus Points For…

Contributions to open-source ML libraries or peer-reviewed publications in ML/AI.
MS or PhD in Computer Science, Statistics, or a related STEM field.

Salary Range

California & New York: the pay range for this role is $162,500 to $223,500 per year.
Canada: the pay range for this role is $136,000 to $187,000 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Effective January 2025, Faire employees will be expected to go into the office 2 days per week on Tuesdays and Thursdays. Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.

Applications for this position will be accepted for a minimum of 30 days from the posting date.

Why you’ll love working at Faire

We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is taking part in the founding process.
We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners.
We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy.
We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality.

Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.

Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.

Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)

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About Faire

About the Role

What You’ll Do

Contribute to the next-generation Search engine, integrating LLMs, query understanding, dense vector retrieval, deep personalization embeddings, multi-stage ranking, and reinforcement learning to serve personalized product feeds with <100 ms latency.
Design and productionize natural-language search and discovery systems, enabling intelligent agents to generate relevant and personalized collections, explain search results, and assist retailers in browsing, filtering, and evaluation.
Collaborate on model development and GPU-based deployment efforts, leveraging frameworks like Triton to scale inference reliably and efficiently.

You’re a Great Fit If You Have…

1-3 years of industry or research experience using machine learning to solve real-world problems, ideally including work in search, recommendations, or ads ranking.
Hands-on experience with deep-learning libraries (e.g., PyTorch) and vector-search infrastructure (e.g., Faiss, ScaNN, Pinecone).
A strong track record of productionizing models that blend LLMs (e.g., BERT, GPT-class) with structured features to drive personalization.
A product-focused mindset and a bias toward execution—you move quickly from paper to prototype to production.
Strong Python skills, deep respect for system reliability and ownership, and experience operating in high-stakes environments.
Excellent communication and cross-functional influence—you raise the technical bar beyond your immediate team.

Bonus Points For…

Contributions to open-source ML libraries or peer-reviewed publications in ML/AI.
MS or PhD in Computer Science, Statistics, or a related STEM field.

Salary Range

California & New York: the pay range for this role is $162,500 to $223,500 per year.

Why you’ll love working at Faire

We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is taking part in the founding process.
We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners.
We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy.
We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality.

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