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Meta is seeking Research Interns to join our “Modern Recommendation Systems” (MRS) AI Innovation Center. This org brings together a world-class R&D team of researchers, developers, and engineers. The MRS org is developing a unified infrastructure and model service to improve recommendations across Facebook, Instagram and WhatsApp, the “Family of Apps” (FoA). Our interns will have the opportunity to perform research on and even build AI models that will eventually run at the scale of Meta's social network.

Our vision is to understand multi-modal content, especially videos, as well user interests/preference. We contribute to the mission of connecting users to the content they enjoy, are inspired by, and that they want to see more of. We conduct cutting-edge research using the complete suite of audio, visual, text and metadata signals associated with posts and videos to improve recommendation relevance across all surfaces and provide a better, more meaningful experience to users. We build tools, create frameworks and train models that we deploy together with product and infrastructure teams to gain adoption across the FoA. We also publish scientific papers to help advance the state of the art in content understanding.

Our team at Meta AI offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year.Research Scientist Intern, Modern Recommendation Systems (PhD) Responsibilities

Initiate and lead efforts towards long-term ambitious research goals, while identifying intermediate milestones in the area of recommendation systems and models, user and content understanding and multi-modal (video, audio, and text) LLM analysis for classification and relevance use cases
Conduct original research that can eventually be applied to Meta product development, engage with the wider research community, including publishing and releasing open source software where appropriate
Design, train and support video understanding libraries and models to implement new features and functionality for use internally at Meta
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Computer Vision, Artificial Intelligence, or relevant technical field
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
Experience with Python, with experience in machine learning libraries such as Pytorch
Familiarity with AI/ML modeling techniques (e.g., LLM, RAG, LSTM, GRU, Transformers) and/or its acceleration for large scale use cases
Experience building systems based on machine learning and/or deep learning methods
Intent to return to the degree program after the completion of the internship/co-op
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences such as NeurIPS, ICLR, KDD, ICML, SIGIR, WSDM, RecSys, CIKM, CVPR, ECCV, ACL, EMNLP, ICASSP, or similar
Experience working and communicating cross functionally in a team environment
Prior research or project experience in sequence modeling, recommendation systems, or user modeling
Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)

Minimum Qualifications:

PhD degree in Computer Science, a related field, or equivalent practical experience.
2 years of experience leading a research agenda.
Experience in one or more of the following areas: machine learning, large language models, agentic AI (planning, tool use, memory), reinforcement learning (RLHF, RLVF, RLGF, offline RL), or statistical learning.
One of the more scientific publication submissions for conferences, journals, or public repositories (such as NeurIPS, ICML, ICLR, etc.).

Preferred Qualifications:

Experience original, long-term research agenda, evidenced by first-author publications that have introduced novel ideas.
Experience building, training, and post-training large language models (LLMs).
Experience with program analysis, program synthesis, automated program repair, formal methods, or designing developer tools.
Experience designing and implementing novel evaluation benchmarks for LLMs, generative code models or agentic systems.
Experience in Python software engineering and modern ML frameworks like JAX and TensorFlow.

About The Job

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

\nOur team exists to revolutionize how software is designed, developed, and maintained. We are looking for an outstanding, highly-motivated Research Scientist to join the Jules AI team, do foundational and applied research and help build the world's most capable and reliable AI coding agent. This is an opportunity to define the future of software development and the frontier of coding agents by solving fundamental problems in AI, including long-horizon planning and reasoning, code understanding, self-improving systems, human-agent/agent-agent interactions.
In this role, you will be working closely with software engineers, research software engineers and program mangers to translate research and prototypes into robust, scalable, and production-ready AI systems.Labs is a group focused on incubating early-stage efforts in support of Google’s mission to organize the world’s information and make it universally accessible and useful. Our team exists to help discover and create new ways to advance our core products through exploration and the application of new technologies. We work to build new solutions that have the potential to transform how users interact with Google. Our goal is to drive innovation by developing new Google products and capabilities that deliver significant impact over longer timeframes.
The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Our team exists to revolutionize how software is designed, developed, and maintained. We are looking for an outstanding, highly-motivated Research Scientist to join the Jules AI team, do foundational and applied research and help build the world's most capable and reliable AI coding agent. This is an opportunity to define the future of software development and the frontier of coding agents by solving fundamental problems in AI, including long-horizon planning and reasoning, code understanding, self-improving systems, human-agent/agent-agent interactions.
In this role, you will be working closely with software engineers, research software engineers and program mangers to translate research and prototypes into robust, scalable, and production-ready AI systems.
The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Define and pursue a long-term applied research agenda to overcome fundamental limitations of LLMs in long-horizon reasoning, planning, and tool use for complex software engineering tasks.
Design and implement novel agentic architectures, exploring frontiers such as automated workflow optimization, multi-agent decomposition, and self-improvement.
Lead research into synthetic data generation, verification methods/environments and rewards for building data and capability flywheels for Gemini improvement.
Develop high-fidelity evaluation frameworks that measure agent impact to software quality and developer productivity.
Integrate principles from adjacent domains like machine learning, natural language processing, program analysis, program repair, formal methods for addressing ambiguous tasks (such as semantic bug fixing, intent inference, task decomposition).

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Job Description:

Working At Abbott

At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You’ll also have access to:

Career development with an international company where you can grow the career you dream of.
Free medical coverage for employees* via the Health Investment Plan (HIP) PPO
An excellent retirement savings plan with high employer contribution
Tuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree.
A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.
A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.

The Opportunity

This position works out of our Santa Clara, CA location in the Vascular division.

Abbott Vascular provides innovative, minimally invasive and cost-effective products for treatment of vascular disease. Our extensive portfolio includes drug-eluting stents, bare metal stents, guide wires, balloon dilatation catheters, imaging catheters and software, vessel closure devices and peripheral stents.

The Sr. Research Scientist Provides scientific expertise throughout the development and implementation of clinical studies. Writes/manages clinical trial protocols, protocol amendments, clinical study reports, clinical trial registrations and results postings, clinical study project timelines and scientific publications. Interacts with various study support groups cross-functional teams in order to assist in clinical strategy, the development of plans, reports and project deliverables. Interacts with regulatory agencies as needed and will use their scientific and medical knowledge in order to provide strategic communication to staff as well as study sites as directed by your manager.

What You’ll Work On

Facilitates development of clinical strategy and trial design by interacting with study PIs, key opinion leaders (KOLs) and collaborating cross functionally with other departments including Global Clinical Operations, Research & Development, Regulatory Affairs, and Biostatistics.
Writes, study protocols, protocol amendments, informed consents, study reports, scientific presentations and papers for publication by evaluating scientific literature, analyzing scientific data and staying abreast of current clinical practice.
Presents scientific data by communicating accurate, succinct summaries of clinical results at industry gatherings, investigational meetings and regulatory agency meetings.
Works collaboratively with R&D, Clinical R&D, Regulatory Affairs, Library Services, Product Performance Group (PPG), Quality Engineering, Clinical Affairs or Clinical Science, Risk Management, Clinical Project Management, external CROs or Medical Writers, Training, Marketing and Sales, Senior Management and investigational sites.
Conducts team meetings, drafting and sending routine correspondence (e.g., newsletters) and/or by presenting regular updates to senior staff.
Creates, manages, or participates in clinical study timelines, and budgets by utilizing the appropriate project management tools, selecting providers or external medical writers, managing vendor contracts as requested, and ensuring expenditures are within budgetary guidelines.
Throughout study, when appropriate, works cross functionally with clinical field teams and data management to identify missing data, uses metrics regularly to ensure data completeness.
May work closely with external groups, such as core laboratories, to assess and interpret data.
Facilitates regulatory submissions and communications by communicating with Regulatory Affairs during the submission process. Generate documents to support regulatory submission for product and/or respond to questions from regulatory authorities about existing submission.
Interprets results in preparation for product applications by evaluating clinical and scientific and risk data and literature, and staying abreast of current clinical practice.
Participates in and supports audits.
Comprehensive knowledge of a particular technological field.
Uses in-depth knowledge of business unit functions and cross group dependencies/ relationships.
Is recognized as an expert in work group and across functions.
Will perform this job in a quality system environment.
Failure to adequately perform tasks can result in noncompliance with governmental regulations.
Works on complex problems where analysis of situations or data requires an in-depth evaluation of various factors.
Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results.
Has broad knowledge of various technical alternatives and their potential impact on the business.

Education And Experience You’Ll Bring

Required Experience

Bachelor’s degree in related field
Minimum 8 years experience
Experience in clinical trials, working in a regulated environment.
Experience in medical and scientific writing.
Comprehensive knowledge of a particular technological field.

Preferred Experience

Familiarity with one or more data analysis software (such as Excel, Tableau, Power BI) is highly desirable.
PhD, MD, PharmD or MSN preferred, or BA/BS with an equivalent combination of education and work experience

Apply Now

* Participants who complete a short wellness assessment qualify for FREE coverage in our HIP PPO medical plan. Free coverage applies in the next calendar year.

Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: www.abbottbenefits.com

Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.

Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott and on Twitter @AbbottNews and @AbbottGlobal.

The base pay for this position is

$86,700.00 – $173,300.00

In specific locations, the pay range may vary from the range posted.

Job Family:

Clinical Affairs / Statistics

Division:

AVD Vascular

Location:

United States > Santa Clara : Building A - SC

Additional Locations:

Work Shift:

Standard

Travel:

Yes, 5 % of the Time

Medical Surveillance:

Not Applicable

Significant Work Activities:

Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdfEEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf","hiringOrganization":{"@type":"Organization","name":"Abbott","sameAs":"https://www.abbott.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States - Santa Clara : Building A - SC, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":4,"item":{"@type":"JobPosting","title":"Senior Research Scientist/Research Scientist: Core Modelling Development Branch","datePosted":"2025-09-23","description":"

[What the role is]

The Centre for Climate Research Singapore (CCRS) is a division of the Meteorological Service Singapore (MSS). At CCRS, our mission is to advance scientific understanding of tropical climate variability and change and its associated weather systems affecting Singapore and the wider Southeast Asia region, so that the knowledge and expertise can benefit decision makers and the community. Our vision is to be a world leading centre in tropical climate and weather research focussing on the Southeast Asia region.

Within CCRS, the Department for Weather Research (DWR) leads the research and development (R&D) of our core tropical, convective-scale ‘SINGV’ modelling system for both weather and climate change applications. DWR also undertakes R&D and oversees the transition to operations of SINGV-based local numerical weather prediction (NWP) capabilities with lead times up to two days ahead. The DWR works closely with CCRS’s Department of Climate Research (DCR) and High Performance Computing (HPC) Branch, and MSS forecasters. Externally, CCRS is developing strategic collaborations with local universities and research institutes through the recently formed Climate and Water Research Alliance Singapore (CAWRAS). CCRS also works closely with a number of international organisations including the UK Met Office, Australian Bureau of Meteorology, and US National Centre for Atmospheric Research (NCAR). Since 2022, CCRS has been a core member of the international Momentum (formerly Unified Model - UM) partnership.

The DWR Core Modelling Development (CMD) branch is responsible for developing CCRS’s core ‘SINGV’ modelling capabilities, using both physical-dynamical and data-driven/Artificial Intelligence (AI) models, with a focus on the representation of the underlying physical and dynamical processes governing weather and climate in the Southeast Asian region. The CMD branch works closely with other CCRS branches to further develop/evaluate the core SINGV system in specific weather and climate change applications, and with local agencies and institutes of higher learning to share research outcomes and further develop advanced modelling systems for the region.

This new position seeks a talented atmospheric scientist, data scientist or computer scientist to contribute to the development of next-generation atmosphere-land-ocean modelling systems, combining physical-dynamical and AI approaches. You will work closely with CCRS’s local and international partners to transition CCRS’s current UM-based “SINGV’ model into a next-generation physically based and AI-enabled modelling system that will underpin better regional numerical weather prediction and climate change projections.

[What you will be working on]

The job scope will include but not limited to the following:

Contribute to the development of CCRS’s next-generation of AI and physical regional atmosphere and coupled ocean-atmosphere-land-wave modelling systems
Apply AI, physical and hybrid models to explore the processes governing convective weather in deep tropics
Develop ways of combining physical models with Artificial Intelligence (AI) to improve and accelerate regional weather prediction and climate simulations
Work with local and international partners to expand the use of CCRS’s next generation (SINGV_NG) regional modelling capabilities in weather and climate research and applications.
Publishing research outcomes in peer-reviewed publications and presenting findings at international meetings

[What we are looking for]

The job might be for you if you possess the following:

BSc/Master degree/PhD in atmospheric sciences, computer science, mathematics, physics, or a related field.
Postdoctoral research experience in an area of weather/climate modelling, artificial intelligence, mathematical modelling or a related subject (desirable)
High level of proficiency in scientific programming (e.g., Fortran, Python) and experience of using HPC.
Familiarity with regional modelling, for example using the regional modelling suites developed under the Momentum Partnership, or the Model for Prediction Across Scales (MPAS) (desirable).
Familiarity with the theory and application of Artificial Intelligence algorithms for solving physical problems (desirable)
Good written and verbal communication skills, with publications in peer-reviewed journals (desirable).
Experience working as part of a multi-disciplinary, international scientific team
Ability to work effectively to deadlines on individual projects and as part of a diverse team.
Interest and passion to deliver relevant R&D for societal benefits.
Ability to network effectively with the local and international research community.
Ability to engage and communicate with scientists and stakeholders from diverse communities.

As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment.

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Are you a motivated Principal Resilient Systems Scientist with a technical vision and hands-on knowledge of mission-focused systems? The Leidos Innovations Center’s newly established Information and Data Science Division is seeking a Senior Resilient Systems Scientist to help lead strategic solution developments and projects. This role will drive capture of strategic customer-funded software R&D. The ideal candidate will have a proven track record in developing technology-based approaches that yield novel, innovative capabilities while advancing the state of the art. We are looking for a proven researcher who can develop and lead a groundbreaking research portfolio using both internal and customer funding.

*The ideal candidate will be able to work out of our office(s) in either San Diego, CA or Arlington, VA*

Primary Responsibilities

Develop innovative solutions to challenging problems of interest to the Defense Applied Research Projects Agency (DARPA) and U.S. Department of Defense (DoD). 
Engaging R&D customers and transition partners to understand technical gaps and needs for resilient systems solutions in mission critical systems.
Lead and execute research in areas of naval surface platforms, autonomy, and resilient systems.
Develop and deliver software products.
Leading teams of researchers and engineers in the development, adaptation, and extension of innovative approaches to resilient systems solutions across a range of technical areas and application domains to advance the state of the art while addressing long-term problems of importance to national security such as embedded systems.
Develop novel approaches for the generation of assurance evidence for critical software, at scale
Collaborate in cross-discipline teams to deliver innovations that provide measurable resilient mission impact.
To ensure technical relevancy, they will track software technology trends in the customer community and broader R&D communities as well as identify future software R&D funding opportunities.

Basic Qualifications

Proven track record in proposing, winning, and executing work with customers such as DARPA, IARPA or similar agencies within the last 5 years.
Proven track record in developing and delivering software products.
Experience with surface platforms, autonomous concepts, and naval applications.
Bachelor’s degree in Computer Science, Mathematics, or a related field and 15+ years prior relevant experience, M.S degree with 10+ years of prior relevant experience, or Ph.D. with 8+ years of experience (Ph.D. preferred)
Industrial and/or academic experience advancing the state of the art in FPGA development, embedded systems, formal verification, developing technologies such as program analysis, constraint-solving, symbolic execution, or theorem proving
Experience with autonomous systems
Experience with naval systems and specifically surface vessels
Proven track record in proposing, winning, and executing Contract R&D
At least 4 years of experience with programming languages such as Java, Scala, C/C++, Ruby, Rust, or Python
Experience with test and evaluation, software analysis and software specification
Strong verbal and written communication skills, with experience engaging with senior leadership and technical teams as well as ability to present complex software solutions in a clear, understandable manner
Ability and willingness to obtain and maintain a DoD Secret clearance. U.S.Citizenship is required.

Preferred Qualifications

Ph.D. in Computer Science, Mathematics, or related degree
FPGA development and testing, embedded systems design and innovation, applying formal methods, using technologies such as theorem provers for first-order logic and higher-order logic, proof assistants, solvers, or other automated reasoning tools
Experience conducting applied research areas of CPS such as autonomous vehicles, smart sensors, or Internet of Things, fusing data collected from cyber and physical systems to develop novel approaches to address emerging technical challenges in domains relevant to U.S. national security
Experience in semantic analysis of software
Strong and proven customer relationship skills including the ability to discover the true technical challenges and requirements associated with opportunities, recommending alternative technical approaches, and shaping future opportunities
Experience applying and leading the application of formal methods in fundamental research contexts, to problems in complex domains, under conditions of uncertainty, and dynamic and evolving technical challenges
Ability to work in a fast-paced environment
Excellent written and oral skills in communicating technical information with an ability to present complex technical information clearly and coherently
Proven experience forming strong teams composed of members from academia and industry for competitive research and development opportunities
Experience developing software for critical applications that require software certification
Active DoD Secret clearance.
Ability and willingness to work a hybrid schedule onsite in either San Diego California or Arlington Virginia.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Original Posting:

September 23, 2025

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $126,100.00 - $227,950.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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About Applovin

AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end software and AI solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com.

To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others.

Fortune recognizes AppLovin as one of the Best Workplaces in the Bay Area, and the company has been a Certified Great Place to Work for the last four years (2021-2024). Check out the rest of our awards HERE.

About Us

\n
At AppLovin, we’re powering the future of product discovery and engagement through cutting-edge machine learning. Recommender systems quietly shape the daily lives of billions of people — deciding what we watch, read, play, and buy. They don’t just influence culture; they drive trillions of dollars in market value across ads, commerce, and streaming, fueling economic growth and job creation worldwide, and the space is still growing at double-digit rates annually.\n \nThe modern recommendation stack was established about a decade ago, but we believe the next era of models will look fundamentally different. We’re assembling a research team dedicated to shaping that future.\n \n

The Opportunity

\n
We’re creating a world-class academic-industrial hybrid research group to advance recommender systems. Unlike academia, your work won’t live only in papers — it will be deployed into real products, used by millions, and validated at scale. This is your chance to push the science forward and see your ideas transform how the world discovers content.\n \n

What You’Ll Do

Drive foundational research to create new recommendation models and paradigms.
Leverage rich live user data and large-scale compute to validate models rapidly.
Collaborate closely with engineering and product teams to operationalize research.
Publish findings and contribute to the broader ML and RecSys community.

\n \n

Benefits Of Research In Industry

Rich real-time data: access to large-scale, diverse, and dynamic user interactions.
Massive compute & infrastructure: GPU clusters, feature stores, deployment pipelines.
Rapid experimentation: immediate feedback through A/B testing and online evaluation.
Direct impact: see your models shape user experiences and business outcomes.
Cross-disciplinary collaboration: partner with product, design, and engineering teams.
Balanced path: combine scientific exploration with practical deployment.

\n \n

Who You Are

\n
We’re looking for rising researchers with strong academic backgrounds and a desire to have real-world impact.
\nMinimum Qualifications\n

PhD (or equivalent research experience) in CS, ML, Statistics, or related field.
Strong background in deep learning.
Proven track record of research excellence (publications, awards, impactful projects).
Proficiency in Python and modern ML frameworks (PyTorch).
Experience with large-scale data and experimentation.

\n\nNice to Have\n

Publications in top venues (NeurIPS, ICML, ICLR, KDD, RecSys, SIGIR, WWW).
Experience with sequential modeling, representation learning, or causal inference.
Knowledge of online experimentation and evaluation methodologies.
Industry experience deploying ML in production systems.

\n \n

What You’Ll Gain

The opportunity to shape the next generation of recommendation science.
A research culture that combines academic rigor with industrial scale.
Access to world-class infrastructure and live experimentation loops.
A collaborative environment that rewards both innovation and execution.

AppLovin provides a competitive total compensation package with a pay for performance rewards approach. Total compensation at AppLovin is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Depending on the position offered, equity, and other forms of incentive compensation (as applicable) may be provided as part of a total compensation package, in addition to dental, vision, and other benefits.

CA Base Pay Range$252,000—$400,000 USDAppLovin has become aware of a scam targeting jobseekers with fake “app optimization” and similar roles. We do not ask our candidates to download apps or make any form of payment(s). AppLovin works with applicants through our Careers page and applovin.com email addresses. If you are contacted through other unofficial channels (such as WhatsApp or Telegram) or asked to download an app or make a payment, these contacts are not legitimate. Confirm the information here and contact us directly with any questions.\n \nAppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here.\n \nIf you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at accommodations@applovin.com.\n \nAppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in California, learn more here.\n \nTo support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers.\n\nPlease read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information.\n \n \n \n \n ","hiringOrganization":{"@type":"Organization","name":"AppLovin","sameAs":"https://www.applovin.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":7,"item":{"@type":"JobPosting","title":"Principal Research Scientist I, Tissue Material Sciences Fillers","datePosted":"2025-09-22","description":"

Company Description

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Job Description

The Principal Scientist I in the Tissue Materials Science group is responsible for directing research and/or project activities and professional development of a group of scientists within TMS by effectively mentoring, guiding and/or supervising scientific personnel. He/She/They independently conceive, execute and communicate novel multi-disciplinary research or development strategies that achieve project for the Fillers device franchise, including Juvéderm and Next Generation Dermal Fillers, pre-concept (early research) and new model development. The focus of such studies will be to evaluate the interaction of current and future medical devices with cells and tissues for purposes of establishing device proof of concept, completing regulatory submission-related studies (ISO 10993), performing life cycle compliance-related activities, and developing scientific messaging for advertising/promotional support. This individual is expected to be a team leader and engage key stakeholders, including global strategic marketing, medical affairs, regulatory affairs, clinical development, and publication planning to successfully achieve project goals. The individual serves as a lead scientist on his/her/their own project and contribute scientific insights into multiple other projects.

The Principal Research Scientist I may mentor/supervise a team of one or more direct reports and evaluate the performance of those individuals. Additionally, the individual is accountable for the effective performance of the team/individuals.

Key Duties / Responsibilities

Scientific Leadership

Function as a principle investigator/lead, generating original technical ideas and research or development strategies.
Represents TMS in cross functional teams to provide technical leadership for design, analysis and reporting for pre-concept or development programs and drive alignment with functional management.
Authors publications, presentations and/or primary inventor of patents.
Serve as a technical advisor and subject matter expert in his/her/their discipline.
May be required to mentor/train/manage junior staff in a matrix based organization or as part of a project team.

Scientific Execution

Demonstrate creative “out of the box” thinking to solve difficult problems and champion new technologies to achieve project goals.
Develops and executes in vitro, in vivo and tissue processing methods to support development of novel medical device/tissue products.
Critically evaluate scientific or regulatory advances, competitive threats or business development opportunities.

Scientific Communication

Serves as a technical advisor and subject matter expert in his/her/their discipline to management and internal customers, driving alignment with cross-functional Asset teams and management for activities and deliverables.
May contribute to publications, regulatory documents and inventions and present at external conferences.
Provides regular updates to manager and project teams, contributes and prepares technical reports for the department and management as needed.

Cross-Functional Team Representation

Critical team member in Asset Strategy, involved in developing project strategy
Serves as TMS representative on Asset teams, Strategy teams and product development subteams, providing expertise in areas of tissue responses to Fillers.
Supports Design Control activities as the non-clinical representative on development teams with minimal guidance.
Organizes, schedules, and participates in project team meetings to define and schedule project activities and review completed tasks.
Communicates project status to supervisor, project team leader, other research managers, and R&D committees as appropriate.
Prepares time and cost estimates of project activities for review by manager to achieve realistic project completion dates

Qualifications

Education And Experience

Ph.D. and a minimum of 6+ years of industry experience OR Master’s degree and 12+ years of industry experience OR BS and 14+ years of industry experience;. Degree in a related scientific or engineering discipline (cell biology, molecular biology, pharmacology, immunology, bioengineering, or similar)
Medical device experience or experience in a regulated environment is preferred.
Experience in a medical device, pharmaceutical, or related setting with a proven record of success in conducting R&D projects
Experience and working knowledge of medical device, drug and/or biologics, and combination product regulations (21 CFR 820, 21 CFR 210/211, 21 CFR Part 4, Biologics, etc.)
Experience managing outsourced research activities
Experience managing in vivo and in vitro research activities
Working knowledge of biocompatibility testing requirements (ISO 10993)
Experience conducting/managing GLP toxicity and biocompatibility studies is a plus
Technical report writing proficiency in support of regulatory submissions
Expertise in small / large animal model study performance and imaging
Creativity, strong verbal and written communication skills, strong scientific leadership skills, ability to work effectively in independent and team settings, and acute attention to detail are essential skills for this position
Able to multitask and work within timelines.
Able to build strong relationships with peers and cross-functional partners to achieve higher performance.
Proficiency in mentoring junior staff or serving as a senior technical advisor.

The employee must conduct their work activities in compliance with all AbbVie, Irvine internal requirements and with all applicable regulatory requirements, including knowledge of operating in a controlled environment per the requirements of 21 CFR 820, ISO 13485 and ISO 14971. AbbVie, Irvine internal requirements include compliance with ethics, environmental health and safety, financial, human resources, and general business policies, requirements and objectives.

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:

The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
This job is eligible to participate in our short-term incentive programs.
This job is eligible to participate in our long-term incentive programs

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html

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Who Are We?

Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.

Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.

Join us on our mission and shape the future!

Why join Cohere Labs?

Cohere Labs is the dedicated research arm of Cohere. Our mission is to push the boundaries of machine learning by tackling frontier challenges and opening new pathways for discovery. We believe the future of AI will be shaped not only by technical breakthroughs, but also by creating spaces where diverse communities of researchers, engineers, and multidisciplinary experts can come together to explore bold ideas.

We pursue this mission in two ways:

Creating open research spaces that connect people across backgrounds to contribute to cutting-edge ML and NLP research.
Expanding access to research training, bringing in fresh voices and perspectives from around the world.

About The Role

As a Senior Research Scientist at Cohere Labs, you’ll drive an independent, high-impact research agenda on frontier topics in AI. You’ll have the freedom to ask ambitious questions, explore the unknown, and publish your findings openly. We’re particularly excited by work that not only advances science, but also engages with the societal implications of machine learning.

This role is for someone who thrives at the intersection of leading and learning: advancing frontier research with global collaborations, guiding new researchers, and opening doors for broader participation in ML research.

You may be a fit if you:

Have a PhD (or equivalent research experience) with a strong track record of publications in ML, AI, statistics, or related fields.
Bring expertise or deep curiosity in areas such as: efficiency, optimization, reasoning, multimodality, agentic systems, human–AI collaboration.
Have solid machine learning and NLP fundamentals, with experience in shaping and executing original research.
Enjoy collaborating across disciplines and geographies.
Care about mentoring and supporting the next generation of researchers.

At Cohere Labs, we don’t just work on today’s problems — we’re building foundations for the future of AI research. If you want to explore big questions, collaborate widely, and make lasting contributions, we’d love to hear from you.

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.

Full-Time Employees at Cohere enjoy these Perks:
🤝 An open and inclusive culture and work environment
🧑‍💻 Work closely with a team on the cutting edge of AI research
🍽 Weekly lunch stipend, in-office lunches & snacks

🦷 Full health and dental benefits, including a separate budget to take care of your mental health

🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK

🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement

🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend

✈️ 6 weeks of vacation

Note: This post is co-authored by both Cohere humans and Cohere technology.

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Snapshot

The mission of our team is to improve LLM's fundamental capabilities in retrieval and ranking.

Information retrieval is central to Google. With the new generative AI experiences, it is an emerging problem to rethink how retrieval and ranking can be done and build the next-generation LLM-powered solutions.

About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The Role

LLMs/Gemini have demonstrated impressive capabilities, yet it is an open question whether these models can be used to efficiently solve large-scale retrieval and ranking problems that are central to the Google business.

The goal of our team is to study and build the next-generation LLM-powered retrieval and ranking model, providing an end-to-end generative experience.

The work will have impacts on many applications and workstreams including Ads, Search, personalization/memory and long-context modeling.

Our team has an extensive track record of building embedding and RAG style models at Google. With the new project and roles, we hope to go beyond the conventional embedding and RAG view and revolutionize how retrieval and ranking is done at Google.

Key Responsibilities:

Develop new model architecture, training and inference techniques.
Conduct large-scale analysis and experiment.
Collaborate with different teams in the GenAI org and PAs and apply the techniques to real-world applications.

About You

In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:

PhD in Computer Science, or Machine Learning related field.
Demonstrated experience in data preparation, training, and evaluation of LLM models.
A strong record of publications in top-tier machine-learning related conferences

In addition, the following would be an advantage:

Experience in low-level programming optimizing LLM training and inference efficiency.
Experience in information retrieval and ranking.

The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

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Ultrafast Spectroscopy Research Scientist Industrial Placement

Science and Technology Facilities Council (STFC)
Salary: £24,961 per annum
Contract Type: Fixed-Term, 12 months
Hours: Full-time, 37 hours
Location: Science and Technology Facilities Council, Rutherford Appleton Laboratory, Harwell Campus Didcot
Closing Date: Sunday, 19th October 2025
Interview Date: Dec 2025 / Jan 2026
Start Date: September 2026

We are looking for a year in industry placement student to join our team of expert scientists. You will gain hands-on experience in an exciting research and development environment. Here at the Ultra facility, we specialise in using ultrafast lasers to perform a range of cutting-edge Time Resolved Infrared Spectroscopy techniques, such as Transient Infrared Absorption Spectroscopy and 2D-Infrared Spectroscopy. You will assist in the operation of the facility and be involved in frontier research across biological, chemical and material sciences.

Researchers come to the Ultra facility to study a variety of applications, from how molecules behave during chemical reactions to how materials respond to light. You’ll help set up and run these experiments, giving you the opportunity to meet new researchers and engage in a variety of scientific problems. Your tasks might include aligning laser beams, preparing and positioning samples, setting up optical equipment, and helping to collect data. As well as supporting facility experiments; you’ll also get the chance to work on in-house development projects. This could involve helping to build and improve laser instrumentation, developing new ways to deliver or manipulate samples, or testing and refining new equipment or techniques.

Brief overview of the scheme STFC’s incredibly diverse range of placements allow you to work alongside world leading engineers, scientists and technicians in highly collaborative environments. Whichever you choose, you’ll become a critical member of the team in which you will be exposed to exciting projects and challenges from the start. You’ll be supported every step of the way by our dedicated Graduate Development Team who will also ensure you benefit from a range of personal development opportunities.
About the role and a summary of key duties & responsibilities

Supporting the setup and running of user experiments at the Facility
Assist the team with operational tasks, such as purchasing and administration
Helping to build or improve laser instrumentation
Developing new ways to deliver or manipulate samples
Contributing to the research environment of the facility by attending research seminars, group meetings, and engaging in scientific discussions

Person Specification The below criteria will be scored during Shortlisting (S), Interview (I) or both (S&I). Essential:

Currently enrolled on an undergraduate degree course and returning to university/studies to complete your undergraduate degree following the placement (S)
Are required or have requested to take an industrial placement year (S)
Have the right to live and work in the UK for the duration of the placement (S)
Able to commence employment in summer 2026 (S)
Be enrolled in a physical science-based degree and be achieving upper second or first-class standard in exams to date. (S)
Be able to work in a safe and organised manner and follow the facility’s safety protocol. (I)
Have demonstratable knowledge and interest in Infrared spectroscopy and its applications. (S + I)
Be able to discuss their practical skills relevant to the position. (S + I)
A level or equivalent in Chemistry and/or Physics (S)

Desirable:

Be able to find, read and interpret relevant literature and discuss the wider context. (I)

Employee Benefits:

30 days holiday (in addition to 10.5 bank holidays and privilege days).
Flexible working hours.
An excellent defined average salary pension scheme.
Easily accessible public transport links/ free parking.
Excellent learning and development opportunities.
Cycle to work scheme.

Link to more benefits: https://stfccareers.co.uk/rewards-and-benefits/

As this job does not fulfil the UK Government minimum criterion for obtaining sponsored migrant worker status we will be unable to apply for sponsorship for anyone not eligible to work in the UK. At interview, all shortlisted candidates are required to bring with them identification documents and original documents that prove they hold or can obtain the right to work in the UK. You can check your eligibility here: https://www.gov.uk/check-uk-visa/y

Application Guidance

Please note that we can only accept a maximum of 2 applications per candidate.

Part of our application process involves submitting your CV and a cover letter. Your cover letter should address your suitability for the opportunity based how you meet each essential criteria stated in this advert.

Please note that we hold the right to close this vacancy early if a sufficient number of applications have been received.

We ask some of the biggest questions in the universe, to answer some of the biggest challenges in the world. Together, our scientists, technologists, engineers and business support team explore the unknown across every field you could think of. And they turn what they find into work that changes the world around us.

What could you achieve with the world-leading facilities and experts of one of Europe's largest research organisations by your side? Join us and discover what's possible!

\n\nUKRI - UK Research and Innovation\n\n\n\n\n\n\n\n\n\n\n

UKRI is an organisation that brings together the seven disciplinary research councils, Research England and Innovate UK. Together, we build an independent organisation with a strong voice and vision ensuring the UK maintains its world-leading position in research and innovation.

Supporting some of the world’s most exciting and challenging research projects, we develop and operate some of the most remarkable scientific facilities in the world. We are pushing the frontiers of human knowledge through fundamental research and delivering benefits for UK society and the economy through world-class research, skills and business-led innovation.

More information can be found at www.ukri.org.

Choosing to come to work at UKRI means that you will have access to a whole host of benefits from a defined benefit pension scheme, excellent holiday entitlement, access to employee shopping/travel discounts and salary sacrifice cycle to work scheme. For more details, visit benefits of working for UKRI.

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How we support EDI in the workforce

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At UKRI, we believe that everyone has a right to be treated with dignity and respect, and to be provided with equal opportunities to thrive and succeed in an environment that enables them to do so. We also value diversity of thought and experience within inclusive groups, organisations and the wider community. For further information, please visit ‘How we support EDI in the workforce’.

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Disability Confident Employer

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As users of the disability confident scheme, we guarantee to interview all applicants with a disability who opt into the disability confident scheme and meet the minimum criteria for the role. 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. Please contact us to request accommodation.

How To Apply

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Online applications only preferred for this role. Please submit a CV and covering letter which clearly outlines how you fulfil the criteria specified along with your motivation for UKRI and the role. Ensure that the job reference number is included in the filename description of each document uploaded. Note that failure to address the above criteria or submit an application without a covering letter may result in the application not being considered. Assessment will only be based upon the content of your submitted covering letter and CV and not the ‘experience’ section of the application.

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UKRI seeks to ensure it creates and maintains a system of openness, fairness and inclusion – a collaborative, trusted environment, which is attractive to and accessible to everyone who is interested in developing their career with us.

The role holder will be required to have the appropriate level of security screening/vetting required for the role. UKRI reserves the right to run or re-run security clearance as required during the course of employment.

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Snapshot

Science is at the heart of everything we do at Google DeepMind. From the beginning, we took inspiration from science to build better algorithms, and now, we want to use our toolkit to accelerate scientific discovery. By bringing together specialists with backgrounds in machine learning, computer science, physics, chemistry, biology and more, we’re optimistic that we can build new methods that will push the boundaries of what is possible and help solve the biggest problems facing humanity.

About Us

The Role

As a Research Scientist working on Protein Design, you will play a key role in developing and validating cutting-edge AI tools for designing proteins with novel functions, such as enzymes. You will apply your expertise in computational chemistry to perform in silico analyses of protein-ligand complexes to develop predictors of protein function in the wet lab. You will use your engineering skills to set up and parallelize force-field calculations and/or molecular dynamics simulations on many design candidates. Additionally, you will work with machine learning and biology experts to troubleshoot and improve design methods. Finally, you will advise on and develop ambitious new research goals in protein and enzyme design, as well as biomolecular modelling more generally.

Key Responsibilities:

Run molecular dynamics using classical or machine-learned force fields to analyze designed enzymes and develop predictive metrics for their activity in the wet lab.
Develop engineering infrastructure to support computational chemistry calculations at scale.
Train teammates in computational chemistry tools for biological applications.
Work collaboratively with teammates from diverse scientific backgrounds to improve and expand the capabilities of protein design tools.
Report and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing, in a fast paced environment.

About You

In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:

You are passionate about the potential of AI to revolutionize protein design and are motivated to apply your deep computational expertise to challenging scientific problems.
You have a strong ability to think critically and creatively about complex issues in bimolecular modeling and simulation.
You are a strong collaborator and communicator, skilled at explaining difficult concepts from your field to team members from diverse scientific backgrounds such as machine learning and biology.
You are motivated to stay at the forefront of advancements in computational chemistry and their intersection with machine learning.

Required Skills

PhD in a relevant field (molecular modeling, computational chemistry, biophysics) or 3+ years equivalent experience in industry.
Expertise in molecular dynamics and protein and organic small-molecule force fields.
Hands-on experience setting up engineering infrastructure for running large-scale calculations.
High attention to detail, persistence, and ability to independently implement and troubleshoot research projects.
Skilled in teamwork and collaboration with computational and experimental researchers.

In addition, the following would be an advantage:

Post-PhD research experience.
Expertise in any of: machine learning, quantum chemistry, machine-learned interatomic potentials, protein structure prediction or design.
Experience or interest in modeling enzyme catalysis.
A passion for AI and protein design!

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Company Description

NielsenIQ is a consumer intelligence company that delivers the Full View™, the world’s most complete and clear understanding of consumer buying behavior that reveals new pathways to growth. Since 1923, NIQ has moved measurement forward for industries and economies across the globe. We are putting the brightest and most dedicated minds together to accelerate progress. Our diversity brings out the best in each other so we can leave a lasting legacy on the work that we do and the people that we do it with. NielsenIQ offers a range of products and services that leverage Machine Learning and Artificial Intelligence to provide insights into consumer behavior and market trends. This position opens the opportunity to apply the latest state of the art in AI/ML and data science to global and key strategic projects.

Job Description

NielsenIQ’s Innovation Team is expanding its AI capabilities and is hiring an AI/ML Research Scientist for our Core Models team in Pune, India. This multidisciplinary team of researchers works across cutting-edge areas of AI including Generative AI (GenAI), Large Language Models (LLMs)—with a particular focus on GPT-based architectures—as well as recommender systems and extreme classifiers.

As part of this team, you’ll stay at the forefront of AI research, especially in Natural Language Processing (NLP). You’ll implement state-of-the-art algorithms to solve real-world, large-scale challenges and contribute novel ideas to advance our capabilities.

Key Focus:
\nWe are specifically looking for candidates with hands-on experience fine-tuning open-source LLMs or training them from scratch using custom datasets, ideally auto-regressive language models. Your work will directly contribute to the development of robust, safe, and aligned AI models tailored to NielsenIQ’s business needs.

Responsibilities:

Design and develop scalable, reproducible, and maintainable data pipelines for ML solutions
Fine-tune or train LLMs (especially GPT-based models) from scratch using custom datasets
Design innovative algorithms to adapt large language models for domain-specific applications at NIQ.
Conduct feasibility studies and data analysis to identify optimal solutions
Drive innovation in custom LLM and GenAI development
Communicate findings effectively to both technical and non-technical stakeholders
Collaborate within a high-performing team, fostering motivation and strong team dynamics
Contribute to scientific output including patents and publications

Qualifications

Required Education, Skills And Experience:

Master's degree in computer science or an equivalent numerate discipline.
At least <3/5> years’ experience with evidence in a related field.
Strong background in computer science, linear algebra, probability.
Solid experience in Machine Learning and Deep Learning (special focus on Transformers).
Proven experience in Natural Language Processing and Large Language Models.
Proven experience building scalable data pipelines and ETLs.
Able to understand scientific papers and develop ideas into executable code.
Proven track record of innovation in creating novel algorithms and publishing the results in AI conferences/journals.
Languages and technologies: Python, SQL, PySpark, Databricks, Pandas/Polars, PyArrow, PyTorch, Huggingface, git.
Proactive attitude, constructive, intellectual curiosity, and persistence to find answers to questions.
A proficient level of interpersonal and communication skills (English level B2 minimum).
Keen to work as part of a diverse team of international colleagues and in a global inclusive culture.

Additional Information:

Preferred Education, Skills And Experience:

PhD in science (NLP/Data Science is preferred) and specialized courses in one of the above-mentioned fields.
Experience working with large real-world datasets and scalable ML solutions.
Previous experience in e-commerce, retail and/or FMCG/Consumer Insight business.
Agile methodologies development (SCRUM or Scale Agile).

Additional Information

Our Benefits

Flexible working environment
Volunteer time off
LinkedIn Learning
Employee-Assistance-Program (EAP)

About Niq

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com
Want to keep up with our latest updates?
Follow us on: LinkedIn | Instagram | Twitter | Facebook
Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

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Research Scientist / Engineer – Pre-Training / Scaling

About The Role

At Luma, the Pre-Training / Scaling team is responsible for building the core multimodal AI systems that power our entire platform. Working at the forefront of generative AI research, this team develops the fundamental architectures and training methodologies that enable our models to see, hear, understand, and interact with the world across video, image, text, and audio modalities.

Responsibilities

Lead cutting-edge research in multimodal foundation models spanning video, image, text, and audio
Design and implement novel algorithms, architectures, and techniques for large-scale generative AI models
Develop training methodologies for foundation models across thousands of GPUs
Research and implement state-of-the-art techniques in Autoregressive LLMs, Vision Language Models, and / or Diffusion Models.
Collaborate with cross-functional teams to transition research into production systems

Experience

Expertise in Python and PyTorch with experience building ML models from scratch
Deep understanding of multimodal generative models and deep learning architectures
(Preferred) Strong research track record in generative AI with published work in top-tier venues preferred
(Preferred) Experience with large-scale distributed training systems

Compensation

The pay range for this position in California is $180,000 - $250,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan.

Your application are reviewed by real people.

Luma’s mission is to build multimodal AI to expand human imagination and capabilities. We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision. So, we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change. We are looking for engineers with significant experience solving hard problems in PyTorch, CUDA and distributed systems. You will work alongside the rest of the research team to build & train cutting edge foundation models on thousands of GPUs that are built to scale from the ground up.

About The Role

The Training Infrastructure team at Luma is responsible for building and maintaining the distributed systems that enable training of our large-scale multimodal models across thousands of GPUs. This team ensures our researchers can focus on innovation while having access to reliable, efficient, and scalable training infrastructure that pushes the boundaries of what's possible in AI model development.

Responsibilities

Design, implement, and optimize efficient distributed training systems for models with thousands of GPUs
Research and implement advanced parallelization techniques (FSDP, Tensor Parallel, Pipeline Parallel, Expert Parallel)
Build monitoring, visualization, and debugging tools for large-scale training runs
Optimize training stability, convergence, and resource utilization across massive clusters

Experience

Extensive experience with distributed PyTorch training and parallelisms in foundation model training
Deep understanding of GPU clusters, networking, and storage systems
Familiarity with communication libraries (NCCL, MPI) and distributed system optimization
(Preferred) Strong Linux systems administration and scripting capabilities
(Preferred) Experience managing training runs across >100 GPUs
(Preferred) Experience with containerization, orchestration, and cloud infrastructure

Senior Research Scientist, Classroom Assessment Products

We’re seeking a Senior Research Scientist to support the development and enhancement of assessment products, with a primary focus on Pearson’s classroom formative assessment system, Navvy. This role centers on conducting research and psychometric activities that drive student learning outcomes through product innovation, validation, and continuous improvement.

Key Responsibilities

Lead the design and execution of efficacy studies and research initiatives.
Contribute to innovative methodologies that inform classroom product development.
Support data management processes for operational item banks and dynamic form creation.
While psychometric expertise is valued, candidates with strong skills in efficacy analysis and advanced applied data analysis are encouraged to apply—even if their psychometric background is limited.

Education & Experience

Advanced degree in educational measurement, statistics, or a related field from a nationally recognized institution.
Minimum of three years of relevant experience in psychometric assessment or educational research.

Technical Expertise

Psychometric Techniques or Equivalent Expertise

Proficiency in classical test theory, item response theory, diagnostic classification modeling, test equating, scaling/linking, and standard setting

Or

Experience applying innovative techniques from your area of expertise to novel educational contexts.

Software & Programming

Familiarity with tools such as SAS, R, SPSS, WINSTEPS, IRTPro, PARSCALE, C++, MPLUS

Or

Experience with other relevant platforms (e.g., Matlab, IDL, PERL, Java, JavaScript, XML) and their application in testing or research environments.

Research & Development

Design and implement studies on predictive validity, efficacy, and evaluation.
Define study parameters, limitations, and funding needs.
Coordinate resources, maintain documentation, and deliver reports and presentations.

Assessment Design

Analyze item bank and form characteristics to support thousands of micro-assessments.
Collaborate with subject-matter experts on content development, test design, item review, and reporting.

Educational Trends & Innovation

Propose research aligned with challenges faced by students, families, and educators.
Uphold the Standards for Educational and Psychological Testing.
Explore AI-driven and game-based assessment solutions for personalized instruction and immersive learning.

Communication & Collaboration

Deliver clear and tailored technical presentations.
Produce documentation, present at national conferences, and submit manuscripts for publication.
Contribute to project narratives and funding proposals.

Project & Team Management

Apply project management skills to ensure timely and budget-conscious execution.
Ensure marketing claims are evidence-based and research-informed.
Collaborate with cross-functional teams (technology, content, product success, commercialization).

Work Environment

Remote position with travel limited to 10%.
Responsible for maintaining schedules and completing assigned duties.

Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the California, Colorado, Hawaii, Maryland, New York State, New York City, Washington State, and Washington DC laws, the pay range for this position is as follows:

The minimum full-time salary range is between $90,000 - $115,000.

This position is not bonus eligible. Information about benefits can be found at https://pearsonbenefitsus.com/.

Applications will be accepted through September 26, 2025. This window may be extended depending on business needs.

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We are looking for researchers with significant experience solving hard problems in multimodal language models. You will work end–to–end on cutting edge multimodal language models with strong emphasis on audio and visual data. Your contributions will be pivotal in shaping various research projects and product roadmaps.\n

Responsibilities

Design and implement novel AI algorithms and architectures for multimodal language models.
Build tools to evaluate and benchmark multimodal language models.
Develop large-scale AI training and inference methods.
Ensure efficient implementation of models & systems for data processing and training.
Build tools to analyze and process multimodal data.
Collaborate with research and engineering teams across Luma to transfer research to products and services.
Implement cutting-edge product prototypes based on multimodal generative AI.

Experience

Expertise in Python & Pytorch, including practical experience working with the full development pipeline from data processing & data loading to training, inference, and optimization.
Experience working with large-scale text data, or (bonus) interleaved data spanning audio, video, image, and/or text.
Hands-on experience in developing or benchmarking at least one of the following topics: LLMs, Vision Language Models, Audio Language Models, generative video models .

Compensation

The pay range for this position in California is $200,000 - $300,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan.

Relevant Research Experience

Training generative AI models in modalities such as video, image, text, and audio.
Unlocking the power of foundational models for interesting applications, such as editing and controlled generations.
On-policy or off-policy reinforcement learning for model tuning
Efficient training and / or inference techniques on large-scale distributed systems
Data curation and processing for pretraining and fine-tuning

Technical Requirements

Proficiency in deep learning frameworks such as PyTorch and/or Jax.
This is an onsite role but open to remote for right candidate

Compensation

The pay range for this position in California is $200,000 - $300,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan.

About Analog Devices

Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X).

Job Title: Staff Research Scientist, Edge Ai

About Analog Devices: Analog Devices, Inc. (Nasdaq: Adi) Is A Global Semiconductor Leader That Bridges The Physical And Digital Worlds To Enable Breakthroughs At The Intelligent Edge. Adi Combines Analog, Digital, And Software Technologies To Drive Advancements In Smart Factories, Mobility, Healthcare, Climate Solutions, And Reliable Connectivity. With Revenue Exceeding $9 Billion In Fy24 And Around 26,000 Employees Globally Working Alongside 125,000 Global Customers, Adi Ensures Today’S Innovators Stay Ahead Of What’S Possible.

The Analog Garage: Located In The Heart Of Downtown Boston, The Analog Garage Is Adi’S Research And Advanced Development Center, Empowering The Company By Pioneering Breakthrough Technologies. The Algorithmic Solutions Group Within The Analog Garage Researches And Develops Cutting-Edge, Efficient Algorithms To Convert Data Into Intelligence That Addresses Society’S Most Pressing Challenges. The Team’S Expertise Spans Fields Such As Machine Learning, Artificial Intelligence, Signal Processing, Computer Vision, Computational Linguistics, Communication Systems, And Other Areas Of Electrical Engineering And Computer Science, Creating Solutions With Real-World Impact.

Job Opportunity:

The Algorithmic Solutions Group Is Seeking A Motivated Researcher To Develop Innovative Solutions At The Intersection Of Cutting-Edge Ai Algorithms And Adi Technologies. In This Role, You Will:

Collaborate Within A Multidisciplinary Team Of Researchers, Engineers, And Domain Experts To Bridge Ai Innovation With Practical Solutions
Develop Cutting-Edge Ai Algorithms Designed For Resource-Constrained Environments
Prototype And Validate Solutions, Using Both Software Simulations And Hands-On Hardware, To Demonstrate Feasibility And Performance
Stay Abreast Of State-Of-The-Art Algorithms And Research Advances In Areas Relevant To Analog Devices.

Qualifications:

Phd Degree In Electical Engineering, Computer Science Or Related Fields.
Experience In Two Or More Of The Following Areas:
Developing, Deploying, And Optimizing Ai Models Using Frameworks And Tools Such As Pytorch, Tensorflow, And Cloud-Based Ai Platforms
Modern Ai Architectures And Training Paradigms
Deploying And Optimizing Models On Constrained Hardware Using
Techniques Such As Quantization, Pruning, Distillation, Or On-Device Retraining
Computer Architecture, Ai Accelerators, And/Or Model Compilation
Analog, Mixed-Signal, And/Or Rf Circuit Design

Preferred Qualifications:

3+ Years Of Industry Experience Developing And Deploying Machine Learning Models
Strong Publication Record In Top Conferences And/Or Journals

Why Join Us?

By Joining Adi, You’Ll Have The Opportunity To Work At The Intersection Of Hardware And Ai To Bring Intelligence To The Edge And Create Solutions That Have A Profound Impact. Enjoy A Dynamic Work Environment, Be Part Of A Team That Values Diversity Of Thought And Experience And Take Your Career To The Next Level.

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

EEO is the Law: Notice of Applicant Rights Under the Law.

Job Req Type: ExperiencedRequired Travel: Yes, 10% of the timeShift Type: 1st Shift/DaysThe expected wage range for a new hire into this position is $166,800 to $229,350.

Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.
This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.
This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.

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Job Title

Research Scientist

Location

Worcester

Department Name

Computer Science - NFR JM

Division Name

Worcester Polytechnic Institute - WPI

Job Description Summary

Dr. Neil Heffernan seeks a full-time research scientist to join his lab at Worcester Polytechnic Institute (WPI). The position will support and advance research across several funded projects with Heffernan and his non-profit organization, the ASSISTments Foundation (TAF). This research position is based at WPI, but will closely communicate and coordinate with TAF.

The ASSISTments platform itself is a responsive online learning platform that is teacher-paced and evidence-based. ASSISTments is used by 20,000 teachers and 100,000 students per year, and is uniquely positioned because it enables scientists to create and test interventions to help students better learn. The ASSISTments platform is one of few available K-12 math tools proven effective through rigorous randomized controlled research.

We are looking for an individual with a masters degree in computer or data science with software engineering skills to support research projects related to AI in education. This is a great opportunity for a recent graduate who wants to work as part of an R1 research lab to advance the field of learning sciences & technology.

We seek a continuous learner, considering a Ph.D, who has an \"all-hands-on-deck\" mentality, and is able to work both individually and as part of a team. Similar to the role of \"post-doc,\" the initial appointment is for one year, renewable based on mutual interest and continued funding.

If you are interested, please submit a resume and cover letter that explains your interest and qualifications. Applications will be reviewed on a rolling basis until the position is filled. Applications without cover letters will not be reviewed.

Job Description

Responsibilities:

Collaborate with and support PI’s team of Ph.D students and research scientists
Collaborate with the ASSISTment Foundation's product team and software engineers.
Build and maintain the machine-learning software infrastructure that runs research projects within the ASSISTments platform.

Technical Requirements

A masters degree in computer science, data science, artificial intelligence, or information sciences.
Python
PostgreSQL
Prompt engineering for user-facing application features
Retrieval Augmented Generation (RAG)
Qualitative and quantitative techniques for evaluating model output
Data cleaning and processing
Statistical analysis
Git + Git Hub
AWS

Professional Requirements

Strong written and oral communication skills and the ability to target communication to various audiences, including academics, industry professionals, and teacher users of ASSISTments.
Experience coordinating cross-team projects, managing timelines and stakeholders, and strategizing creative solutions towards clear goals with exceptional attention to detail.
Proactive, thoughtful, and entrepreneurial work style on both highly independent and team projects.
Experience with the Google suite of office products.
Experience with databases such as AirTable or GoogleSheets (spreadsheets).

Preferred

Experience in K-12 education organizations preferred.
Experience in working with a start-up team.
Experience in working with IRBs or human subjects preferred.

Flsa Status

United States of America (Exempt)

WPI is an Equal Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. It seeks individuals from all backgrounds and experiences who will contribute to a culture of creativity, collaboration, inclusion, problem solving, innovation, high performance, and change making. It is committed to maintaining a campus environment free of harassment and discrimination.

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About Analog Devices

Job Title: Staff Research Scientist, Intelligent Systems

About Analog Devices: Analog Devices, Inc. (Nasdaq: Adi) Is A Global Semiconductor Leader That Bridges The Physical And Digital Worlds To Enable Breakthroughs At The Intelligent Edge. Adi Combines Analog, Digital, And Software Technologies To Drive Advancements In Smart Factories, Mobility, Healthcare, Climate Solutions, And Reliable Connectivity. With Revenue Exceeding $9 Billion In Fy24 And Around 26,000 Employees Globally Working Alongside 125,000 Global Customers, Adi Ensures Today’S Innovators Stay Ahead Of What’S Possible.

The Analog Garage: Located In The Heart Of Downtown Boston, The Analog Garage Is Adi’S Research And Advanced Development Center, Empowering The Company By Pioneering Breakthrough Technologies. The Algorithmic Solutions Group Within The Analog Garage Researches And Develops Cutting-Edge, Efficient Algorithms To Convert Data Into Intelligence That Addresses Society’S Most Pressing Challenges. The Team’S Expertise Spans Fields Such As Machine Learning, Artificial Intelligence, Signal Processing, Computer Vision, Computational Linguistics, Communication Systems, And Other Areas Of Electrical Engineering And Computer Science, Creating Solutions With Real-World Impact.

Job Opportunity: The Algorithmic Solutions Group Is Seeking A Motivated Researcher To Develop Innovative Solutions At The Intersection Of Cutting-Edge Ai Algorithms And Adi Technologies. In This Role, You Will:

Create Novel Algorithms Specialized For Applications Relevant To Analog Devices.
Develop Software Simulations And Analyze Performance Of Algorithms.
Lead Hardware Prototyping Efforts.
Work With Other Researchers And Engineers, Inside And Outside The Algorithmic Solutions Group, To Connect Our Work With Our Mission Statement.
Stay Abreast Of State-Of-The-Art Algorithms And Research Advances Beyond The State Of The Art In Areas Relevant To Analog Devices.

Qualifications:

Phd Degree With A Concentration In One Of These Fields: Digital/Analog/Mixed Circuit Design, Computer Architecture, Ai Accelerators, Power Electronics, Or Signal Processing.
3+ Years Of Hands-On Experience In The Following Areas:
Modern Ai Architectures And Models Such As Transformers, Diffusion Models, Graph Neural Networks, Multimodal Models, Etc.
Training Paradigms Such As Contrastive Learning, Energy Minimization, Reinforcement Learning, Meta-/Few-Shot Learning, Etc.
Developing, Deploying, And Optimizing Ai Models Using Frameworks And Tools Such As Pytorch, Tensorflow, Or Cloud-Based Ai Platforms.
Model Deployment On Constrained Hardware By Leveraging Quantization, Pruning, Distillation, Increased Sparsity, Etc.
Strong Publication Record In Top Conferences And/Or Journals

Why Join Us?

By joining ADI, you’ll have the opportunity to work at the intersection of hardware and AI to bring intelligence to the edge and create solutions that have a profound impact. Enjoy a dynamic work environment, be part of a team that values diversity of thought and experience and take your career to the next level.

EEO is the Law: Notice of Applicant Rights Under the Law.

Job Req Type: ExperiencedRequired Travel: Yes, 10% of the timeShift Type: 1st Shift/DaysThe expected wage range for a new hire into this position is $166,800 to $229,350.

Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.
This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.
This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.

","hiringOrganization":{"@type":"Organization","name":"Analog Devices","sameAs":"https://www.analog.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"US, MA, Boston, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":21,"item":{"@type":"JobPosting","title":"Faculty (Rank TBD) - Medical Education/Research Scientist - 992265","datePosted":"2025-09-21","description":"

We are excited that you are considering joining Nova Southeastern University!

Nova Southeastern University (NSU) was founded in 1964, and is a not-for-profit, independent university with a reputation for academic excellence and innovation. Nova Southeastern University offers competitive salaries, a comprehensive benefits package including tuition waiver, retirement plan, excellent medical and dental plans and much more. NSU cares about the health and welfare of its students, faculty, staff, and campus visitors and is a tobacco-free university.

We appreciate your support in making NSU the preeminent place to live, work, study and grow. Thank you for your interest in a career with Nova Southeastern University.

\n\n

Primary Purpose:

The principal duty of a research faculty member is to conduct research related to the mission of the Dr. Kiran C. Patel College of Allopathic Medicine (NSU MD). Our institute is looking to grow on our solid foundation of research that focuses on neuroscience, oncology, stem cell biology, and systems biology. Research areas of interest include, but are not limited to, immuno-oncology, neuroscience, neuro-oncology, and/or neuroimmune diseases.

Appropriate rank will be determined by the Kiran C. Patel College of Allopathic Medicine's Merit and Promotion Committee.

\n\n

Job Category: Exempt
Hiring Range: Commensurate with experience
Pay Basis: Annually
Subject to Grant Funding? No

\n\n\n\n

Essential Job Functions:

1. Responsible for research study monitoring.
2. Verifies quality and accuracy of data.
3. Adheres to the study protocol and study procedures manual, completes all reports accurately and within the predetermined timeline.
4. Reviews study related documents, maintaining the project files and records for regulatory audits.
5. Responsible for maintaining study files and study reports.
6. Works closely with relevant groups as it pertains to research studies.
7. Assists in the establishment and maintenance of the laboratory facilities.
8. Establishes laboratory procedures.
9. Works with the University's biosafety and research services to adhere to University policies.
10. Participates in small groups, laboratories, and department and college wide committee meetings.
11. Participate in a productive and innovative research program, to obtain outside funding.
12. Actively participates in graduate and post-graduate teaching, training, and/or mentorship.
13. Conducts research and/or scholarly activity in a particular field of knowledge and publishes findings in professional journals, books, or electronic media.
14. Writes grant proposals to procure external funding.
15. Reviews papers for publication in journals.
16. Supervises undergraduate or graduate teaching, internship, scholarship, and/or research work.
17. Performs other duties as assigned or required.

Job Requirements:

Required Knowledge, Skills, & Abilities: Knowledge:
1. Knows and effectively uses the fundamental concepts, practices and procedures of a particular field of specialization; continues development of technical expertise and knowledge through experience and application.
2. Administration & Management - General knowledge of business and management principles involved in strategic planning, resource allocation, budgeting, human resources modeling, leadership technique, production methods, and coordination of people and resources.

Skills:
1. Speaking - Advanced skills in talking to others to convey information effectively.
2. Instructing - Proficient skills in teaching others how to do something.
3. Reading Comprehension - Proficient understanding of written sentences and paragraphs in work-related documents.
4. Writing - Proficient skills in communicating effectively in writing as appropriate for the needs of the audience.
5. Learning Strategies - Proficient skills in selecting and using training/instructional methods and procedures appropriate for the situation when learning or teaching new things.
6. Active Listening - Proficient skills in giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times.
7. Active Learning - Proficient skills in understanding the implications of new information for both current and future problem-solving and decision-making.
8. Critical Thinking - Proficient skills in using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems.
9. Complex Problem Solving - Proficient skills in identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.
10. Proficient skills in monitoring / assessing performance of yourself, other individuals, or organizations to make improvements or take corrective action.

Abilities:
1. The ability to communicate information and ideas in speaking so others will understand.
2. The ability to listen to and understand information and ideas presented through spoken words and sentences.
3. The ability to read and understand information and ideas in writing so others will understand.
4. The ability to communicate information and ideas in writing so others will understand.
5. The ability to apply general rules to specific problems to produce answers that make sense.

Physical Requirements:
1. Speech Recognition - Must be able to identify and understand the speech of another person.
2. Speech Clarity - Must be able to speak clearly so others can understand you.
3. Travel - Must be able to travel on a daily and/or overnight basis.
4. May be required to work nights or weekends.
5. May be exposed to short, intermittent, and/or prolonged periods of sitting and/or standing in performance of job duties.
6. May be required to accomplish job duties using various types of equipment/supplies, to include but not limited to pens, pencils, mobile devices, and computer keyboards.

Required Certifications/Licensures:

Required Education: Terminal Degree (Highest degree in field of study)
Major (if required: Ph.D., D.O., M.D., or M.D/Ph.D. degree
Required Experience: Proven track record of external grant funding.
Candidates must submit with their applications:

\n\n\n\n

1. Cv

2. Research plan (minimum one page, maximum three pages) outlining your research vision
Existing portable grant funding sources.2. Previous NIH recipient.3. Experience with animal models.

3. Teaching Statement

Preferred Qualifications:

\n\n

Is this a safety sensitive position? No

Background Screening Required? No

Pre-Employment Conditions:

Sensitivity Disclaimer: Nova Southeastern University is in full compliance with the Americans with Disabilities Act (ADA) and does not discriminate with regard to applicants or employees with disabilities and will make reasonable accommodation when necessary.

NSU considers applicants for all positions without regard to race, color, religion, creed, gender, national origin, age, disability, marital or veteran status or any other legally protected status.

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About The Role

The Performance Optimization team at Luma is dedicated to maximizing the efficiency and performance of our AI models. Working closely with both research and engineering teams, this group ensures that our cutting-edge multimodal models can be trained efficiently and deployed at scale while maintaining the highest quality standards.

Responsibilities

Profile and optimize GPU/CPU/Accelerator code for maximum utilization and minimal latency
Write high-performance PyTorch, Triton, CUDA, deferring to custom PyTorch operations if necessary
Develop fused kernels and leverage tensor cores and modern hardware features for optimal hardware utilization on different hardware platforms
Optimize model architectures and implementations for distributed multi-node production deployment
Build performance monitoring and analysis tools and automation
Research and implement cutting-edge optimization techniques for transformer model

Experience

Expert-level proficiency in Triton/CUDA programming and GPU optimization
Strong Pytorch Skills
Experience with PyTorch kernel development and custom operations
Proficiency with profiling tools (NVIDIA Nsight, torch profiler, custom tooling)
Deep understanding of transformer architectures and attention mechanisms
(Preferred) Experience with compilers/exporters such as torch.compile, TensorRT, ONNX, XLA
(Preferred) Experience optimizing inference workloads for latency and throughput
(Preferred) Experience with Triton compiler and kernel fusion techniques
(Preferred) Knowledge of warp-level intrinsics and advanced CUDA optimization
(Preferred) Background in compiler optimization or hardware-software co-design

Compensation

The pay range for this position in California is $180,000 - $250,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan.

Your applications are reviewed by real people.

About The Role

The Multimodal Capabilities team at Luma focuses on unlocking advanced capabilities in our foundation models through strategic research into multimodal understanding and generation. This team tackles fundamental research questions around how different modalities can be combined to enable new behaviors and capabilities, working on the open-ended challenges of what makes multimodal AI systems truly powerful and versatile.

Responsibilities

Identify capability gaps and research solutions
Design datasets, experiments, and methodologies to systematically improve model capabilities across vision, audio, and language
Develop evaluation frameworks and benchmarking approaches for multimodal AI capabilities
Create prototypes and demonstrations that showcase new multimodal capabilities

Experience

Strong programming skills in Python and PyTorch
Experience with multimodal data processing pipelines and large-scale dataset curation
Understanding of computer vision, audio processing, and / or natural language processing techniques
(Preferred) Expertise working with interleaved multimodal data
(Preferred) Hands-on experience with Vision Language Models, Audio Language Models, or generative video models

Description

Job Description:

Conducts innovative scientific investigation by developing theories and devising scientific methods and procedures to apply scientific principles, theories and research in projects related to the mission of UTMB. Committed to the discovery of new innovative biomedical and health services knowledge leading to increasingly effective and accessible health care. Assures competence as a fully trained scientist in a specific discipline or area of expertise.

Essential Job Functions:

Research Scientists conduct innovative scientific investigations by developing theories and devising scientific methods and procedures to apply scientific principles, theories and research in projects related to the mission of UTMB. The Research Scientist will establish research objectives and methodology, design procedure, conduct research projects, analyze and interpret results, will publish and present research as author and co-author as well as lead or train Classified Research staff and Post Doctoral Fellows. In addition, supervises work of lab staff, oversees execution of assigned tasks.

Minimum Qualifications:

Ph. D, M.D, D.O., or D.V.M in related field and one year of related experience.

Salary:

Commensurate With Experience.

Qualifications

Equal Employment Opportunity

UTMB Health strives to provide equal opportunity employment without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, genetic information, disability, veteran status, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. As a Federal Contractor, UTMB Health takes affirmative action to hire and advance protected veterans and individuals with disabilities.

Primary Location

: United States-Texas-Galveston

Work Locations

: 0609 - Keiller Bldg 301 University Blvd. Keiller Building, rm 1.116 Galveston 77555-0609

Job

: Research Academic & Clinical

Organization

: UTMB Health: Regular

Shift

: Standard

Employee Status

: Manager

Job Level

: Day Shift

Job Posting

: Sep 19, 2025, 4:01:49 PM","hiringOrganization":{"@type":"Organization","name":"UTMB Health","sameAs":"https://www.utmb.edu/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States-Texas-Galveston","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":25,"item":{"@type":"JobPosting","title":"Research Scientist","datePosted":"2025-09-20","description":"Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Research Scientist Responsibilities

Perform research and develop solutions to computer software and computer hardware problems.

Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta’s platforms.

Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.

Utilize technical research background, train new ranking models, and run experiments.

Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.

Use machine learning, statistics, or other data techniques to build algorithms.

Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.

Analyze and resolve computer challenges from a system engineering standpoint.

Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.

Demonstrate good judgment in selecting methods and techniques for obtaining solutions.

Telecommute from anywhere in the US permitted.

Requires a PhD degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Mechanical Engineering, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field, OR completion of all coursework towards a PhD degree in Computer Science, Engineering, Information Systems, Mechanical Engineering, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field

Requires completion of a university-level course, research project, internship, or thesis in the following:

1. Algorithms, data structures, or systems software

2. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources

3. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision

4. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines

5. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU and

6. Java, C++, Perl, PHP, or Python

Minimum Qualifications For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
US$225,569/year to US$240,240/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park, CA | Remote, US","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":26,"item":{"@type":"JobPosting","title":"Research Scientist Intern, Monetization Computer Vision (PhD)","datePosted":"2025-09-20","description":"Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Facebook offers countless ways to make an impact in a fast growing organization.

Meta is seeking Research Interns to join the Monetization Generative AI team. We are committed to advancing the field of generative AI by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as generative AI, deep learning, computer vision and natural language processing. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.

Our team at Meta AI offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year.Research Scientist Intern, Monetization Computer Vision (PhD) Responsibilities

Conduct research to advance the science and technology of generative AI.
Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities).
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
Devise data-driven models of image generation and text generation.
Publish research results and contribute to research that can be applied to Meta product development.
Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Computer Vision, Artificial Intelligence, or relevant technical field
Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
Experience in C, C++, Python, Java, or other related programming language
Experience building systems based on machine learning and/or deep learning methods
Intent to return to degree-program after the completion of the internship/co-op
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, and ACL
Experience with Generative AI, including diffusion models and LLM’s
Background in advancing AI techniques in computer vision, including core contributions to open source libraries and frameworks in computer vision
Publications or experience in machine learning, AI, computer vision, optimization, computer science, statistics, applied mathematics, or data science
Experience solving analytical problems using quantitative approaches
Experience setting up ML experiments and analyze their results
Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
Experience in utilizing theoretical and empirical research to solve problems
Experience working and communicating cross functionally in a team environment

Minimum QualificationsPreferred Qualifications For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$७,६५०/month to $१२,१३४/month + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park, CA | New York, NY","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":27,"item":{"@type":"JobPosting","title":"Research Scientist Intern, Monetization Generative AI - LLM (PhD)","datePosted":"2025-09-20","description":"Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.

We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.

Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.Research Scientist Intern, Monetization Generative AI - LLM (PhD) Responsibilities

Perform research to advance the science and technology of intelligent machines
Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources
Analyze and improve efficiency, scalability, and stability of various deployed systems
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
Publish research results and contribute to research that can be applied to Meta product development
Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Natural Language Processing, Speech Recognition, Sentiment Analysis, Computer Vision, or relevant technical field
Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
Experience with Python, C++, C, Java or other related language
Experience with deep learning frameworks such as Pytorch or Tensorflow
Experience building systems based on machine learning, deep learning methods, or natural language processing
Experience with the development of enterprise level AI, Machine Learning, and Deep Learning platform involving big data management and GPU compute
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, or similar
Experience with Large Language Models, on top of the latest research of text only input and multimodal input to large language models
Experience with ML areas such as Natural Language Processing, Speech, Multimodal Reasoning & Retrieval, Visual Question & Answering
Experience building systems based on machine learning, reinforcement learning and/or deep learning methods
Experience working and communicating cross functionally in a team environment
Experience with training deep neural networks for key NLP tasks
Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
Intent to return to degree program after the completion of the internship/co-op

Minimum QualificationsPreferred Qualifications For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$7,650/month to $12,134/month + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":28,"item":{"@type":"JobPosting","title":"Research Scientist Intern, Monetization Computer Vision (PhD)","datePosted":"2025-09-20","description":"Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Facebook offers countless ways to make an impact in a fast growing organization.

Meta is seeking Research Interns to join the Monetization Generative AI team. We are committed to advancing the field of generative AI by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as generative AI, deep learning, computer vision and natural language processing. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.

Our team at Meta AI offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year.Research Scientist Intern, Monetization Computer Vision (PhD) Responsibilities

Perform research to advance the science and technology of generative AI.
Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities).
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
Devise better data-driven models of image generation and text generation.
Publish research results and contribute to research that can be applied to Meta product development.
Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Computer Vision, Artificial Intelligence, or relevant technical field
Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
Experience in C, C++, Python, Java, or other related programming language
Experience building systems based on machine learning and/or deep learning methods
Intent to return to degree-program after the completion of the internship/co-op
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, and ACL
Experience with Generative AI, including diffusion models and LLM’s
Background in advancing AI techniques in computer vision, including core contributions to open source libraries and frameworks in computer vision
Publications or experience in machine learning, AI, computer vision, optimization, computer science, statistics, applied mathematics, or data science
Experience solving analytical problems using quantitative approaches
Experience setting up ML experiments and analyze their results
Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
Experience in utilizing theoretical and empirical research to solve problems
Experience working and communicating cross functionally in a team environment

Minimum QualificationsPreferred QualificationsAbout Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

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Company Description

Job Description

The AbbVie Device & Combination Product Development (DCPD) team provides expertise to enable the development of drug delivery systems for use with AbbVie therapeutic products as well as bespoke medical device development to support AbbVie’s eye care and aesthetics portfolios. In this role, you will be leading programs in development of robust drug delivery systems at the intersection of engineering and biopharmaceutics, as well as improving capabilities within our state-of-the-art laboratories. You will be working with a global team of exceptional scientists, engineers, and leaders on a variety of drug delivery systems from autoinjectors to advanced electromechanical infusion pump systems. Your expertise and leadership will ensure these systems are safe and effective in meeting their intended use. You will independently conceive, execute, and communicate novel multi-disciplinary development strategies that achieve project and area goals.

We are looking for an individual with a comprehensive knowledge of development of medical devices and drug delivery systems to support AbbVie’s therapeutic pipeline.

Responsibilities:

Define verification strategy and lead planning and execution of the activities to meet program objectives. Create verification plans, protocols, records, and reports. Determine sample size strategy based on strong scientific rationale conforming to internal and regulatory guidelines.
Lead verification activities within cross-functional teams.
Lead execution of test procedures and writing of protocols supporting engineering testing and verification testing, analyze data, document in lab notebooks, and present results to cross-functional teams. Experience using Zwick and flow measurement equipment is preferred. Familiarity with 3D printing, CT Scanners, Viscometers, Climate Chambers, etc. is a plus.
Lead root cause investigations and issue resolutions.
Define, develop, and validate test methods.
Implement new testing approaches for state-of-the-art testing & verification.
Drive global harmonization of development & verification processes.

Qualifications

BS or equivalent education and extensive, typically 14+ years of experience; MS or equivalent education with typically 12+ years of experience; PhD with typically 6+ years of experience required. (A degree in an engineering field, preferred: mechanical, materials, packaging, bioengineering).
Strong expertise in Design Verification for Medical Devices and experience working in a regulated environment in compliance to 21 CFR 820 and MDR.
Significant background in engineering testing and analysis including:
Direct experience of test equipment validation (IQ, OQ, PQ) is required.
Expertise in statistical analysis.
Significant documentation experience including standard operating procedures (SOPs), technical reports, and design verification plans/protocols/reports. Expertise with Electronic Lab Notebooks (ELN) and Design History File tools such as Polarion/LinkUs
Proficiency in MS Office, SolidWorks, MATLAB, LabView, Minitab.
Lean Six Sigma, 5S experience desired.
Good communication skills, both written and oral. Ability to prepare technical reports and presentations. Demonstrated scientific communication and presentation skills, including the ability to present to senior management.
Willingness and ability to travel both domestic and internationally, up to 10% of the time

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:

The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
This job is eligible to participate in our short-term incentive programs.
This job is eligible to participate in our long-term incentive programs

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html

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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

The CoreLLM team at ServiceNow leads groundbreaking research, engineering, building ServiceNow's signature models (NOWLLM). The effort involves all phases of Large Language Models development, including data curation, training, and evaluation. Our goal is to consistently enhance and improve NOWLLM models, by incorporating innovative features and optimizing efficiency, establishing a differentiated advantage for applications on the ServiceNow Platform.

These models (NOWLLM) are consumed across various Business Units (BUs) within ServiceNow to power a wide range of BU-specific use cases, enabling teams to solve complex problems and deliver tailored solutions that accelerate innovation and efficiency across the platform.

You will play a major part in building next generation Large Language Models(LLM's) for Enterprise Language Generation that will power NOW platform with AI experiences in day to day work of our customers. We are just getting started with our early-adopter customers and we need your help in building and making available an amazing range of solutions to our 9k+ enterprise customers around the world.

What you get to do in this role:

Confronted with real-world challenges and datasets, you will need to use your AI/ML expertise and creativity to apply existing methods and develop new ones to solve these problems in a practical and scalable way.
Research and propose appropriate models/techniques, as well as implement, train and evaluate the models yourself.
Contribute to the design, implementation, and scaling of LLM's as a key AI-first platform offering in ServiceNow’s portfolio.
Collaborate daily with a team of like-minded developers, applied research scientists, product managers and quality engineers to produce quality software.
Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality & high-impact solutions to our users.

Qualifications

To be successful in this role you have:

Expert in prompt engineering and developing LLM based features
Experience with methods of training and fine tuning large language models, such as distilation, supervised fine-tunning and policy optimization
Experience in using Al productivity tools such as Cursor, Windsurf, etc. is a plus or nice to have
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.
6+ years of relevant experience with a Bachelor's degree; or 4 years with a Master's degree; or a PhD with no experience; or equivalent work experience.
Expertise in Python, OOP, Design Patterns.
Experience in Pretraining of an LLM is preferred but not mandatory
Experience with Instruction fine tuning and other fine-tuning techniques is a must.
Experience with Reinforcement learning is preferred but not mandatory.
Experience with various transformer architectures (auto-regressive ,sequence-to-sequence etc)
Ability to read latest papers and experiment with the ideas.
Good publication record in top tier conferences such as ICLR, NeurIPS, ICML, ACL, EMNLP, AAAI, etc.
Communicating your research findings to both technical and non-technical stakeholders, and working to ensure that the benefits and limitations of LLMs are clearly understood across the organization.

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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BlueHalo, an AV Company has an opportunity available for a Research Scientist to join our ceramics and composites team at the Air Force Research Laboratory (AFRL). The position focuses on thermo-structural modeling of ceramics and ceramic matrix composites in extreme environments. Proficiency in Abaqus or another commercial structural modeling software (e.g. ABAQUS, ANSYS, Altair HyperWorks) and some experience with scripting in Python or Matlab is necessary. The ideal candidate will also have experience with multi-physics problems (e.g. combining structural modeling with Computational Fluid Dynamics). The position requires working closely with government and contract researchers within the research team and with other research teams. We are particularly interested in a highly motivated, adaptable, and capable individual with a Ph.D. in Mechanical Engineering, Materials Science, Physics, or related fields.

Requirements:

Ph.D. (or to be completed in next 6 mos.) in Mechanical Engineering, Materials Science & Engineering, Physics, or a related field OR a Master’s degree with a minimum of 1–3 years of relevant experience
Expertise in Abaqus FEM modeling
Ability to learn and develop new approaches and techniques
Excellent oral and written communication skills
This position will require a self-motivated individual with good interpersonal skills and careful attention to details
Adaptable to varying program objectives
This position is working within a government facility and requires U.S. Citizenship

Desired Qualifications:

Experience with COMSOL

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Description

The Moye-Rowley Laboratory is hiring an Assistant Research Scientist to carry out independent research projects focused on understanding drug resistance in fungal pathogens. The ideal candidate will have proven experience investigating the molecular biology of mechanisms of drug resistance in organisms including Candida species and Aspergillus fumigatus. The successful applicant will perform and help direct basic research aimed at understanding the mechanisms and regulation of resistance to antifungal drugs at the molecular level.

Duties To Include:

Experiments, Simulations, Modeling or Theoretical Investigations
Data/Research Analysis and Evaluation
Dissemination of Research Results
Research Proposals/Grants
Perform experiments, simulations, or theoretical investigations.
Collect data and evaluate relevance of data.
Work independently on basic research tasks with oversight by Faculty or Principal Investigator (PI).
Contribute to documentation of equipment and procedures.
Analyze data for relevance and data integrity.
Perform basic data analysis techniques.
Compare results of scientific investigations to previously published work.
Prepare manuscripts for contributing author for publication.
Present results in departmental seminars and at professional meetings.

o Contribute to new or continuing research grant proposals to obtain funding for research activities.

o May serve as co-PI on grants or proposals.

o Contribute to progress reports required by funding agencies.

Supervise adherence to safety and compliance guidelines when necessary.

Service

o Provide service to the scientific community, University and General Public.

o Review submitted manuscripts and research proposals.

o Consult and collaborate with the research community.

o Participate in public outreach activities as required by funding sources.

o May participate in national and international meetings within the discipline.

· Human Resources/Supervision

o Mentor graduate students.

o May provide functional and/or administrative supervision for staff.

o Provide direction, assignments, feedback, coaching and counseling to assure outcomes are achieved.

Percent of Time: 100%

Staff Type: Professional & Scientific

Type of Position: Specified Term. Appointment is for one year. Appointment may be extended based on performance and extension of funding.

Pay Grade: 5A https://hr.uiowa.edu/pay/pay-plans/professional-and-scientific-pay-structure

Benefits Highlights

Regular salaried position located in Iowa City, Iowa
Fringe benefit package including paid vacation; sick leave; health, dental, life and disability insurance options; and generous employer contributions into retirement plans
For more information about Why Iowa?, click here

Qualifications

Required Qualifications:

Academic knowledge of a discipline generally associated with a Doctoral degree or an equivalent professional degree, i.e., Ph.D., M.D., D.D.S, or D.V.M.
Three to five years of postdoctoral research related to biochemistry, molecular biology, molecular physiology and signal transduction.
Experience in protein purification, antibody generation, fluorescence microscopy, quantitative reverse transcription-PCR measurement of gene expression, as well as demonstrated expertise with standard molecular biological techniques such as cloning and PCR.
A background and experience documented by publication in studying antifungal drug resistance in at least two candida species including Saccharomyces cerevisiae, Candida albicans and Candida glabrata using genetic approaches.
Experience analyzing DNA binding measurements using techniques such as DNase I protection and electrophoretic mobility shift assay is also required.
Experience analyzing mixed RNA samples from mammalian tissue infected with Candida glabrata clinical isolates and downstream analysis of these RNA samples using chromatographic enrichment of fungal RNA.
Demonstrated ability to generate reporter gene-containing strains that can be utilized in high throughput screening approaches.
A demonstrated ability to plan and execute a research study through some progressively responsible independent research work including a strong publication record.
Excellent oral, written and interpersonal skills are required.

Desirable Qualifications:

More than five years postdoctoral research related to biochemistry, molecular biology, molecular physiology and signal transduction.
Experience in modern analyses of transcription factor function including affinity purification of epitope-tagged proteins by column chromatography.
Experience in the use and construction of affinity purification moiety-tagged proteins as biochemical tools for both protein purification and ChIP reagents.
Well-versed in fungal genetics including gene disruption.

Application Process: In order to be considered, applicants must upload a CV or resume, and cover letter (under submission relevant materials) that clearly address how they meet the listed required and desired qualifications of this position.

Job openings are posted for a minimum of 7 calendar days and may be removed from posting and filled any time after the original posting period has ended.

Successful candidates will be required to self-disclose any conviction history and will be subject to a criminal background check and credential/education verification. Professional references will be requested at a later step in the recruitment process.

For additional questions, please contact Gabriella McDermott at gabriella-mcdermott@uiowa.edu.

Primary Location

: Iowa City

Job

: Research

Organization

: Healthcare

Schedule

: Regular Full-time

Travel

: No

Job Posting

: Sep 18, 2025, 4:21:37 PM","hiringOrganization":{"@type":"Organization","name":"University of Iowa Health Care","sameAs":"https://uihealthcare.org/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Iowa City","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":33,"item":{"@type":"JobPosting","title":"Sr. Research Scientist, Biophysics","datePosted":"2025-09-19","description":"Sr. Research Scientist, Biophysics - (892213)

Description

WHY UT SOUTHWESTERN?
\nWith over 75 years of excellence in Dallas-Fort Worth, Texas, UT Southwestern is committed to excellence, innovation, teamwork, and compassion. As a world-renowned medical and research center, we strive to provide the best possible care, resources, and benefits for our valued employees. Ranked as the number 1 hospital in Dallas-Fort Worth according to U.S. News & World Report, we invest in you with opportunities for career growth and development to align with your future goals. Our highly competitive benefits package offers healthcare, PTO and paid holidays, on-site childcare, wage, merit increases and so much more. We invite you to be a part of the UT Southwestern team where you'll discover a culture of teamwork, professionalism, and a rewarding career!\n\n

JOB SUMMARY
\nWorks under broad direction to plan, organize, direct, and participate in work of major research project in field of specialization for which incumbent is particularly qualified by virtue of extensive training and experience.

BENEFITS
\nUT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. Our benefits are designed to support your overall wellbeing, and include:

PPO medical plan, available day one at no cost for full-time employee-only coverage
100% coverage for preventive healthcare-no copay
Paid Time Off, available day one
Retirement Programs through the Teacher Retirement System of Texas (TRS)
Paid Parental Leave Benefit
Wellness programs
Tuition Reimbursement
Public Service Loan Forgiveness (PSLF) Qualified Employer
Learn more about these and other UTSW employee benefits!\n

EXPERIENCE AND EDUCATION
\n
Required

EducationPhD with major coursework in field of assignment or \nMaster's Degree with major coursework in field of assignment or \nBachelor's Degree with major coursework in field of assignment

Experience6 years research experience in field of assignment; including at 1 year at the level of Research Scientist or its equivalent with a PhD or \n9 years research experience in field of assignment; including at least 2 years at level of Research Scientist or its equivalent with Master's degree or \n 12 years of research experience in field of assignment; including at least 4 years at level of Research Scientist or its equivalent with Bachelor's degree

JOB DUTIES

Plans, organizes, coordinates, directs, and personally participates in major medical or scientific research project, including development and implementation of research protocols. Selects key research personnel; determines specific goals or objectives to be attained; assigns and reviews work of subordinates.
Reviews and analyzes resulting research data; revises techniques or approaches to work problems as indicated necessary by research data. Compiles, writes, and submits project results to principal investigator or department chairman.
Prepares or assists in preparation of research papers, reports, and abstracts for publication as one of co-authors.
Designs, develops, or adapts equipment used in experiments or research to obtain desired results.
Plans and supervises training of technicians and other laboratory personnel with respect to proper laboratory techniques, use of laboratory equipment, and safety procedures.
Confers with industrial, governmental, or other groups concerning progress or results of research project.
Supervises large group of employees engaged in performance of technical and professional work, which varies from routine to complex laboratory work tasks.
Performs other duties as assigned.

SECURITY AND EEO STATEMENT

Security
This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information.

EEO
\nUT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status.

Primary Location

: Texas-Dallas-5323 Harry Hines Blvd

Work Locations

: 5323 Harry Hines Blvd 5323 Harry Hines Blvd Dallas 75390

Job

: Research & Laboratory

Organization

: 352017 - BP-Lab Doubrovinski

Schedule

: Full-time

Shift

: Day Job

Employee Status

: Regular

Job Type

: Standard

Job Posting

: Sep 18, 2025, 1:30:20 PM","hiringOrganization":{"@type":"Organization","name":"UT Southwestern Medical Center","sameAs":"https://www.utsouthwestern.edu/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Texas-Dallas-5323 Harry Hines Blvd","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":34,"item":{"@type":"JobPosting","title":"LLM Code AI Algorithm Research Scientist Graduate (AI Innovation Center) - 2026 (PhD)","datePosted":"2025-09-19","description":"About The Team:
\nThe mission of the TikTok Eng-AI Innovation Center is to explore cutting-edge AGI technologies, including but not limited to LLM, multi-modal LLM (video/image/audio/text/code), etc., to let machine better understand user creations on TikTok platform. Regarding to video/image/audio/text, enhanced content understanding can bring better user experience of searching, recommendation, and can more accurately identify and defend internet abuse and fraud on our platform. Regarding to code, our developed LLM aims to automatically re-organize/optimize TikTok codebase, and make the code/coding become more accessible for TikTok engineers.
\n
\nWe are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok
\n
\nSuccessful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.
\n
\n The main job directions include:
\n - Drive core technology development for large language model code direction, continuously optimizing code comprehension, reasoning, and generation capabilities.
\n- Focus on improving code comprehension, reasoning, and generation capabilities in real-world production codebases, improving TikTok service code performance and privacy compliance.
\n- Explore Code Agent capabilities suitable for actual business production environments, and improve TikTok R&D efficiency.","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":35,"item":{"@type":"JobPosting","title":"Research Scientist Intern, Physics-based Simulation for Avatars and Robotics PhD","datePosted":"2025-09-19","description":"The Meta Reality Labs Research Team brings together a world-class team of researchers, developers, and engineers to create the future of AR and VR, which together will become as universal and essential as smartphones and personal computers are today. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including computer vision, graphics, body tracking, robotics, perception science, and true telepresence.

The Virtual Humans team in Sausalito, CA, Redmond, WA and Zurich, CF work on cutting-edge research and development focusing on virtual people and robotics. We are currently seeking innovative interns with a passion for technology to develop the next generation of virtual humans and robotics.

Our internships are twelve (12) to sixteen (16) to twenty four (24) weeks long and we have various start dates throughout the year.

Research Topics:
* Physics-based simulation for body, cloth and hair
* Physics-based simulation for robotics and interactions with deformable objects
* Deformable object modeling, volumetric representation
* Non-rigid registration
* Differentiable simulation
* Applied machine learningResearch Scientist Intern, Physics-based Simulation for Avatars and Robotics PhD Responsibilities

Investigate, design and develop novel algorithms in areas such as full body, cloth and hair modeling, simulation and animation, surface and volumetric reconstructions, for avatars, digital humans, virtual try-on applications and robotics applications for soft-body interactions
Prototyping, building and analysis of experimental systems
Design and execution of algorithms
Collaboration with and support of other researchers across various disciplines
Communication of research agenda, progress and results
Currently has, or is in the process of obtaining a PhD in Computer Vision, Graphics, Machine Learning, Robotics, or related field
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Interpersonal skills: cross-group and cross-culture collaboration
Experience with computer vision, 3D geometry, character animation and/or linear algebra
2+ years of experience with C, C++, and/or Python
Intent to return to degree-program after the completion of the internship
2+ years of experience with one or more of the following areas: developing models for physics-based simulation, 3D geometry reconstruction, robotics, non-rigid deformation, shape representation, numerical optimization, deep learning
Proven track record of achieving results as demonstrated in accepted papers at top computer vision, graphics, machine learning or robotics related journals and conferences such as SIGGRAPH, CVPR, ICCV, ECCV, NeurIPS, etc

Minimum QualificationsPreferred Qualifications For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$7,650/month to $12,134/month + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sausalito, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":36,"item":{"@type":"JobPosting","title":"Research Scientist Intern, Video Recommendations (PhD)","datePosted":"2025-09-19","description":"Meta is seeking AI Research interns to join our Video Recommendations team within Facebook. Videos (Reels, long videos, and Live streams) are increasingly the formats of choice across the social media industry, and making all these formats successful is a top priority for Facebook, and the core mission owned by this org. Time spent on Facebook watching videos accounts for 1.2+ Billion hours/day, which is over 56% of time spent globally on the App, and this number is expected to continue growing.

This team is directly in charge of recommending all sorts of videos to users. In this role, you'll be working primarily with Facebook's video content, which is predominantly driven by our recommendation system. Your job will involve optimizing our system to provide users with the most engaging and high-quality content. Our interns will have the opportunity to participate in the process of framing practical, high-impact challenges in recommendation into rigorous machine learning problems, and bring their own expertise to build innovative solutions under the guidance from our Research Scientists and Software Engineers.

More concretely, you will focus on solving end-to-end problems in the intersection of Product, ML and Infra, and serve as a bridge between high-demand business needs and long-term foundational investments via ML approach.

Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.Research Scientist Intern, Video Recommendations (PhD) Responsibilities

Perform research to advance the science and technology of intelligent machines
Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources
Analyze and improve efficiency, scalability, and stability of various deployed systems
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
Publish research results and contribute to research that can be applied to Meta product development
Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Natural Language Processing, Speech Recognition, Sentiment Analysis, Computer Vision, or relevant technical field
Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
Experience with Python, C++, C, Java or other related language
Experience with deep learning frameworks such as Pytorch or Tensorflow
Familiarity with machine learning and common deep learning architectures
Intent to return to the degree program after the completion of the internship/co-op
Proven track record of solid research achievements as demonstrated by grants, fellowships, patents, as well as publications at leading AI conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP and KDD
Prior research or project experience in one or more of the following areas: reinforcement learning, pre-training and supervised fine-tuning of large language models, sequence modeling, diffusion models, and their applications in recommendation systems
Demonstrated software development experience via tech internships, work experience, coding competitions, or widely used contributions in open source machine-learning repositories
Experience working and communicating cross functionally in a fast-paced team environment. Ideal candidates should have the ability to quickly understand and identify the research opportunities behind real-world applications, select the appropriate ML methods to explore, and proactively drive the iterations based on clear analysis of the current results

Minimum QualificationsPreferred Qualifications For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
7.650 $/month to 12.134 $/month + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bellevue, WA | Menlo Park, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":37,"item":{"@type":"JobPosting","title":"Research Scientist Intern, Feed Recommendations (PhD)","datePosted":"2025-09-19","description":"Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.

Meta is seeking Research Interns to join our Feed Recommendation team within Facebook. This org is directly in charge of recommending all sorts of contents to users the time they open the app, and thus always gets the first-hand experience of critical pain points to solve. Our interns will have the opportunity to participate in the process of framing practical, high-impact challenges in recommendation into rigorous machine learning problems, and bring their own expertise to build innovative solutions under the guidance from our research scientists and software engineers.

More concretely, while the generative AI innovations in NLP are mainly focusing on optimizing the probabilities of selecting the next word token, in recommendation the vocabulary (contents to suggest) is at a much larger scale and also changing at a fast speed. The preference for these contents can also vary dramatically across users and time. If you’re excited about how to generate the correct sequences of “words” any time the giant number of Facebook users open or scroll down the blue app, come to join us!

Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.Research Scientist Intern, Feed Recommendations (PhD) Responsibilities

Perform research to advance the science and technology of intelligent machines
Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources
Analyze and improve efficiency, scalability, and stability of various deployed systems
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
Publish research results and contribute to research that can be applied to Meta product development
Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Natural Language Processing, Speech Recognition, Sentiment Analysis, Computer Vision, or relevant technical field
Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
Experience with Python, C++, C, Java or other related language
Experience with deep learning frameworks such as Pytorch or Tensorflow
Experience building systems based on machine learning, deep learning methods, or natural language processing
Familiarity with algorithms behind generative model training and common deep learning architectures (Transformers, GPTs, BERT etc.)
Intent to return to the degree program after the completion of the internship/co-op
Proven track record of solid research achievements as demonstrated by grants, fellowships, patents, as well as publications at leading AI conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP and KDD
Prior research or project experience in one or more of the following areas: reinforcement learning, pre-training and supervised fine-tuning of large language models, sequence modeling, diffusion models, and their applications in recommendation systems
Demonstrated software development experience via tech internships, work experience, coding competitions, or widely used contributions in open source machine-learning repositories
Experience working and communicating cross functionally in a fast-paced team environment. Ideal candidates should have the ability to quickly understand and identify the research opportunities behind real-world applications, select the appropriate ML methods to explore, and proactively drive the iterations based on clear analysis of the current results

Minimum Qualifications:

PhD degree in Computer Science, a related field, or equivalent practical experience.
4 years of experience with research agendas across multiple teams or projects.
Experience in computer vision
Experience in biometrics, face anti-spoofing, 3D/2.5D vision, facial landmark estimation, or pose estimation
One of more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Preferred Qualifications:

2 years of experience in coding and leading multiple research efforts and influencing research direction.
Knowledge of TensorFlow, Flume, common computer vision libraries/frameworks and Android.

About The Job

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Author research papers to share and generate impact of research results across organization and in the research community.
Assist in research growth by sharing research trends and best practices within the community by reviewing academic papers, and serve on program committees and grant panels.
Deliver on large portions of a project by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed.
Identify new and upcoming research areas by interacting with potential external and internal collaborators. Develop long-term research strategy and plans to expand the impact of Google research.
Identify complex but defined problems/gaps in existing technology and engage stakeholders and leaders to address them.

Job Description

The Fire Department of the City of New York (FDNY) is the largest Fire Department in the United States and universally is recognized as the world's busiest and most highly skilled emergency response agency. The Department's main goal is to provide fire protection, emergency medical care, and other critical public safety services to residents and visitors in the five boroughs. FDNY members are sworn to serve and protect life and property and the Department works to continually educate the public in fire, life safety and disaster preparedness, along with enforcing public safety codes. Since its inception in 1865, FDNY has helped lead efforts to make New York the safest big city in the nation. This accomplishment requires a steadfast and daily commitment to maintaining the Department's core values.

The Bureau of Fire Prevention cultivates a safer city for its citizens, visitors and first responders by preventing loss of life and property damage from fire and other emergencies. We accomplish this 24/7 by identifying fire and life safety hazards; creating, revising, and enforcing the New York City Fire Code; reviewing plans for critical systems designed to protect and alert building occupants; licensing qualified companies to install and service fire protection equipment and systems; certifying individuals to monitor fire safety conditions; and educating individuals and businesses about fire safety. In addition, the Bureau of Fire Prevention is critical partner with the Bureau of Fire Operations (Firefighters) and Bureau of Fire Investigations (Fire Marshals), providing assistance and guidance during post-fire incidents and investigations; and coordinating with other City agencies on matters concerning fire and life safety. The Bureau consists of Fire Protection Inspectors, lawyers, engineers, explosives experts, and Fire Officers work together to save lives in New York City.

The Fire Department, City of New York (FDNY), seeks a full-time City Research Scientist, Level III in the Bureau of Fire Prevention. Reporting directly to the Director of Performance Management, the successful candidate will: support the Fire Prevention Bureau through advanced data research, analytics, and visualization. This role will focus on building Microsoft BI dashboards, evaluating and integrating Fire Prevention data into ETL processes, and delivering high-quality analysis, visualizations, and datasets to support decision-making, performance tracking, and operational improvement. Well-suited candidates will have experience aggregating and joining datasets for advanced analysis and reporting. The City Research Scientist will also provide workforce analytics, which will require them to apply appropriate statistical and analytical methodologies to identify trends, outliers, and operational insights, as well as provide interpretation of findings with actionable recommendations. Finally, the City Research Scientist will identify opportunities to improve data quality, accessibility, and analytical
capabilities throughout the Bureau

CITY RESEARCH SCIENTIST - 21744

Qualifications

1. For Assignment Level I (only physical, biological and environmental sciences and public health) A master's degree from an accredited college or university with a specialization in an appropriate field of physical, biological or environmental science or in public health.
To be appointed to Assignment Level II and above, candidates must have:
1. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or
2. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or
3. Education and/or experience which is equivalent to \"1\" or \"2\" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in \"2\" above. Two years as a City Research Scientist Level I can be substituted for the experience required in \"1\" and \"2\" above.

NOTE:
Probationary Period
Appointments to this position are subject to a minimum probationary period of one year.

Additional Information

The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.

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About The Role

Responsibilities

Design, implement, and optimize efficient distributed training systems for models with thousands of GPUs
Research and implement advanced parallelization techniques (FSDP, Tensor Parallel, Pipeline Parallel, Expert Parallel)
Build monitoring, visualization, and debugging tools for large-scale training runs
Optimize training stability, convergence, and resource utilization across massive clusters

Experience

Extensive experience with distributed PyTorch training and parallelisms in foundation model training
Deep understanding of GPU clusters, networking, and storage systems
Familiarity with communication libraries (NCCL, MPI) and distributed system optimization
(Preferred) Strong Linux systems administration and scripting capabilities
(Preferred) Experience managing training runs across >100 GPUs
(Preferred) Experience with containerization, orchestration, and cloud infrastructure

Research Scientist / Engineer – Pre-Training / Scaling

About The Role

Responsibilities

Lead cutting-edge research in multimodal foundation models spanning video, image, text, and audio
Design and implement novel algorithms, architectures, and techniques for large-scale generative AI models
Develop training methodologies for foundation models across thousands of GPUs
Research and implement state-of-the-art techniques in Autoregressive LLMs, Vision Language Models, and / or Diffusion Models.
Collaborate with cross-functional teams to transition research into production systems

Experience

Expertise in Python and PyTorch with experience building ML models from scratch
Deep understanding of multimodal generative models and deep learning architectures
(Preferred) Strong research track record in generative AI with published work in top-tier venues preferred
(Preferred) Experience with large-scale distributed training systems

Compensation

The pay range for this position in California is $180,000 - $250,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan.

Your application are reviewed by real people.

","hiringOrganization":{"@type":"Organization","name":"Luma AI","sameAs":"https://www.lumalabs.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":42,"item":{"@type":"JobPosting","title":"Research Scientist","datePosted":"2025-09-19","description":"We are looking for people with a strong research track-record related to Generative AI, such as LLMs, diffusion models, data and distributed systems. You will be part of Luma’s foundation models research team and work directly on mission critical projects.
Candidates must have at least one research project related to Generative AI in which you played a major role.\n

Relevant Research Experience

Training generative AI models in modalities such as video, image, text, and audio.
Unlocking the power of foundational models for interesting applications, such as editing and controlled generations.
On-policy or off-policy reinforcement learning for model tuning
Efficient training and / or inference techniques on large-scale distributed systems
Data curation and processing for pretraining and fine-tuning

Technical Requirements

Proficiency in deep learning frameworks such as PyTorch and/or Jax.
This is an onsite role but open to remote for right candidate

Compensation

The pay range for this position in California is $200,000 - $300,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan.

Your application is reviewed by real people.","hiringOrganization":{"@type":"Organization","name":"Luma AI","sameAs":"https://lumalabs.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto, California","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":43,"item":{"@type":"JobPosting","title":"Research Scientist - Multimodal Language Models","datePosted":"2025-09-19","description":"Luma’s mission is to build multimodal AI to expand human imagination and capabilities. We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision and audio. So, we are working on training and scaling up multimodal foundation models for systems that can see, hear and understand, show and explain, and eventually interact with our world to effect change.
We are looking for researchers with significant experience solving hard problems in multimodal language models. You will work end–to–end on cutting edge multimodal language models with strong emphasis on audio and visual data. Your contributions will be pivotal in shaping various research projects and product roadmaps.\n

Responsibilities

Design and implement novel AI algorithms and architectures for multimodal language models.
Build tools to evaluate and benchmark multimodal language models.
Develop large-scale AI training and inference methods.
Ensure efficient implementation of models & systems for data processing and training.
Build tools to analyze and process multimodal data.
Collaborate with research and engineering teams across Luma to transfer research to products and services.
Implement cutting-edge product prototypes based on multimodal generative AI.

Experience

Expertise in Python & Pytorch, including practical experience working with the full development pipeline from data processing & data loading to training, inference, and optimization.
Experience working with large-scale text data, or (bonus) interleaved data spanning audio, video, image, and/or text.
Hands-on experience in developing or benchmarking at least one of the following topics: LLMs, Vision Language Models, Audio Language Models, generative video models .

Compensation

The pay range for this position in California is $200,000 - $300,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan.

Job Dimensions

Manages the Analytical Laboratory Team in Wauwatosa to provide technical support for BU R&D, manufacturing plants, and Bostik customers.\n\n
Works within established safety guidelines, provides suggestions for process and safety improvements.
Provides professional input on selection and purchasing of some analytical instrumentation and specialized analyses; responsible for maintenance and repair of some equipment.
Provides input on workflow process and documentation for the Analytical Laboratory.
Can effectively engage business and technical resources to interpret, solve, and communicate complex technical problems.
Manages expectations and performance (including safety performance) and develops the careers of subordinate personnel using Bostik’s Performance Management process.

Key Technical Activities

Maintains substantial technical role including project leadership, direct engagement in problem solving and analytical testing.
Aligned to Bostik business needs, can develop, perform, and document analytical characterization methods.
Development, execution, and documentation of calibration and verification procedures.
Supports instrument maintenance and repair of analytical equipment through hands-on troubleshooting and/or coordinating with equipment vendors.

Key Leadership Activities

Coordinates with Analytical management team on establishment of priorities and assignment of resources to incoming requests for analysis based on understanding of their relative importance and urgency.
Supports development and execution of strategic research/resource plan for the Wauwatosa Analytical team to ensure alignment with business strategies and ability to support group needs, priorities, and growth (in coordination with Analytical management team and based on technical knowledge and understanding of business strategies within Bostik).
Manages training and growth of a team of professional analysis. Builds goals and manages/documents formal performance reviews for direct reports (mid-year and annual).

Context And Environment

Expertise and support for multiple chemistries/product families in multiple business units with independent aggressive business plans. Involves balancing resources between longer-term research projects and unpredictable and variable immediate technical crises.
Communicating with multiple functions/geographies and a range of education and technical expertise.
Must effectively support a collaborative team environment and coordinate with Bostik and Arkema analytical teams at other sites.

Purpose

To support specialized testing capabilities for Bostik Americas, with coordination from other global analytical laboratories. This includes providing input on what techniques, equipment and resources are needed, acting as a resource in interaction with outside entities, growing a team of professionals, supporting a process for analytical testing in a safe manner and assuring that data is repeatable and technically sound.

Qualifications/Experience Required

Minimum of a bachelor’s degree in Chemistry, Material Science or related field (Masters or PhD preferred).
Minimum of 5 years experience in an industrial laboratory or equivalent proven ability to manage multiple complex projects in a service laboratory.
Strong verbal and communication skills with technical and business resources.
Proven ability to lead/mentor a team of analysts.
Experience in multiple polymer characterization techniques including rheological, thermal, chromatographic and spectral techniques for qualitative and quantitative analysis.
Experience with adhesive and sealant chemistries, end uses, and formulations preferred.

#Li-Ms1

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At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position

The Roche Clinical Development organization is structured by therapeutic area and is responsible for developing and executing the late stage development (Phase 2-3) clinical strategies and plans to deliver medically-differentiated therapies that provide meaningful improvement to patients.

The Opportunity

Join Roche/Genentech as a Lead/Senior Clinical Scientist and play a pivotal role in advancing the clinical development of Prasinezumab, the first anti-synuclein antibody entering Phase III development and with the potential to be the first disease modifying treatment for Parkinson’s disease. This position offers a unique opportunity to contribute to ground-breaking drug development in Neurology, collaborate with cross-functional global teams, and drive progress in Parkinson’s clinical development.

Collaborate with cross-functional teams to design, implement, monitor, and analyze clinical studies.
Develop and maintain key clinical documents, including study protocols, investigator brochures, informed consent forms, and progress reports.
Provide oversight of and contribute to Medical Data Review Plan execution
Make significant contributions to clinical development planning
Contribute to clinical science strategy for various activities, including regulatory interactions
Stay abreast of relevant scientific literature and integrate findings into clinical strategy planning.
Review, interpret, and present clinical trial data internally and externally.
Ensure adherence to GCP, regulatory standards, and quality protocols.
Work closely with global teams through frequent collaboration.

Who You Are

You’re a highly motivated professional passionate about influencing your own development and making an impact in Neurology. You bring:

An advanced degree (PhD or PharmD preferred) and 3-5 years of drug development experience within the biopharmaceutical industry.
Demonstrated expertise in clinical trials, with a focus on Phase II or III trials including authoring of protocols and/or protocol amendments .Experience in neurodegeneration and/or in early stage development and processes is a plus
Interested in and motivated by study execution related activities, incl. data review
Strong ability to interpret and synthesize scientific data and present it effectively in diverse settings.
Excellent written and verbal communication skills.
A collaborative mindset, thriving as a team player in a global matrix environment.

Are you ready to help shape the future of Parkinson’s disease treatment? Join us and make your mark.

Who We Are

A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.

Let’s build a healthier future, together.

The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants’ requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.

","hiringOrganization":{"@type":"Organization","name":"Roche","sameAs":"https://www.roche.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Welwyn, United Kingdom","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":46,"item":{"@type":"JobPosting","title":"Clinical Research Scientist 2","datePosted":"2025-09-19","description":"

Become A Part Of Our Caring Community And Help Us Put Health First

Humana’s Clinical Analytics Team is seeking a Research Scientist 2 (Remote).

Healthcare is rapidly changing, and our members are living longer, often with more chronic conditions. The Clinical Analytics team identifies opportunities and build solutions to improve clinical outcomes and lower costs for millions of Medicare Advantage beneficiaries leveraging data science & analytics, clinical expertise, strategic mindset, and rigorous study designs. In this multi-disciplinary team, you will have the opportunity to work closely with strategy partners and clinicians to shape Humana’s future enterprise clinical strategies and initiatives.

The Research Scientist 2 will lead research, evaluation and development of opportunities that optimize healthcare delivery, lower medical cost while improve member health outcomes, through applying mathematical, statistical, epidemiologic and data science methods. The Research Scientist 2 will also partner with stakeholders across the enterprise to identify, prioritize and measure the impact of core and novel solutions to significant problems in healthcare and improve the health of especially underserved population, using high volumes of structured and unstructured data.

Responsibilities

As a Research Scientist 2, you will:

Research, prototype and scale new ideas to improve population health and healthcare delivery
Collaborate with analytic and business teams to set objectives, approaches, and work plans
Collaborate with strategy to evaluate existing programs and identify and measure new solutions to impact healthcare
Leverage a wide range of analytics methods ranging from descriptive to prescriptive to transform high volumes of complex data into analytics solutions and actional insights
Collaborate with clinicians and clinical informaticists to define various clinical concepts and extract clinical information from medical, pharmacy, and lab claims for analytics and modeling purposes
Translates analytic results into key takeaways and make recommendations to business partners
Understands department, segment, and organizational strategy and operating objectives, and translate the strategy to work priorities
Make decisions regarding own work methods, occasionally in ambiguous situations with general guidance

Use Your Skills To Make An Impact

Required Qualifications

Master's Degree in a quantitative discipline such as Epidemiology, Biostatistics, Economics, Statistics, Clinical Informatics, Mathematics, Data Science, Data Analysis and/or related fields
1-3 years of experience in applying mathematics, statistics, epidemiologic or econometric principals to transform high volumes of complex data into actionable insights
Demonstrated strong interest in healthcare and desire to make a positive impact on population health
Proficient in manipulating and analyzing data with at least one of the programming languages such as Python, R, SAS
Demonstrated strong analytical thinking and problem-solving skills
Flexible, dynamic personality who can work independently and collaboratively within a multi-disciplinary team
Clear and concise oral and written communication skills, with a proven ability to translate complex methodologies and analytical results to higher-level business insights and key takeaways

Preferred Qualifications

Healthcare or managed care working experience
Experience working with medical, pharmacy, lab claims
Experience working with big data and using PySpark, Spark R or Spark Scala
Experience with causal inference and causal machine learning techniques, and/or advanced machine learning algorithms such as deep learning, NLP, recommender system, network analysis.
Familiarity with clinical concepts related to a broad range of clinical conditions and disease states, such as oncology, falls, palliative care, behavioral health and/or other chronic conditions
Deep understanding of healthcare payer economics, and/or other specific healthcare areas such as EMR, Episode grouper, utilization management, value-based care, low value care etc.

Additional Information

To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria:

At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested.
Satellite, cellular and microwave connection can be used only if approved by leadership.
Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.
Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job.
Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.

As part of our hiring process for this opportunity, we will be using an interviewing technology called HireVue to enhance our hiring and decision-making ability. HireVue allows us to quickly connect and gain valuable information from you pertaining to your relevant skills and experience at a time that is best for your schedule.

Humana values personal identity protection. Please be aware that applicants may be asked to provide their Social Security Number, if it is not already on file. When required, an email will be sent from Humana@myworkday.com with instructions on how to add the information into your official application on Humana’s secure website.

Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

Scheduled Weekly Hours

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.$71,100 - $97,800 per yearThis job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description Of Benefits

Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.Application Deadline: 09-25-2025

About Us

Humana Inc. (NYSE: HUM) is committed to putting health first – for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.

Equal Opportunity Employer

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

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Additional Location(s): N/A

Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance

At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions.

We will consider qualified applicants of all ages who are starting (or restarting) their careers

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At Boston Scientific, we value collaboration and synergy. This role follows a hybrid work model, requiring employees to be in our local office at least three-four days per week.

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Relocation and housing assistance may be available to those who meet the eligibility criteria.

\n\n

Boston Scientific will not offer sponsorship or take over sponsorship of an employment VISA for this position at this time

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About The Role:

As a Research Scientist Intern, you will be tasked with designing and developing implant products for the Cardiac Rhythm Management Diagnostics (CRMDx) group. This includes technologies that monitor, support diagnosis and treat irregular heart rhythms, heart failure, and sudden cardiac arrest. CRMDx provides devices and therapies for a patient’s entire continuum of care, from diagnostic to treatment. This division strives to innovate and create a paradigm shift that can solve unmet clinical needs and change what is possible for patients.

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Your Responsibilities Will Include:

Designing, and testing prototype devices/algorithms to address clinical feedback.
Analyzing large clinical databases to inform device design and procedural technique.
Viewing live and recorded clinical procedures and developing test methods to replicate use.
Creating AI/ML models using real-world data from patients and implantable cardiac devices

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Required Qualifications:

Must graduate between Fall 2026 – Spring 2027
Currently pursuing a bachelor’s or graduate level degree majoring in Machine Learning
Must be able to commit to one of the following full internship program periods: May 18th – August 7th OR May 26th – August 14th
Must be eligible to work in the U.S. without company sponsorship, now or in the future, for employment-based work authorization
Must have reliable transportation to and from the Arden Hills, MN Boston Scientific Corporate location
Previous Boston Scientific internship experience required

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Preferred Qualifications:

Ability to communicate effectively with diverse, cross-functional teams
Passion to learn new technologies and find new solutions 
Desire to work in a medical device company where real products get manufactured
Requisition ID: 613678
Minimum Salary: $42120
Maximum Salary: $71552

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The anticipated compensation listed above and the value of core and optional employee benefits offered by Boston Scientific (BSC) – see www.bscbenefitsconnect.com—will vary based on actual location of the position and other pertinent factors considered in determining actual compensation for the role. Compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, among other relevant business or organizational needs. At BSC, it is not typical for an individual to be hired near the bottom or top of the anticipated salary range listed above.

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Compensation for non-exempt (hourly), non-sales roles may also include variable compensation from time to time (e.g., any overtime and shift differential) and annual bonus target (subject to plan eligibility and other requirements).

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Compensation for exempt, non-sales roles may also include variable compensation, i.e., annual bonus target and long-term incentives (subject to plan eligibility and other requirements).

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For MA positions: It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.

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As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most – united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do – as a global business and as a global corporate citizen.

So, choosing a career with Boston Scientific (NYSE: BSX) isn’t just business, it’s personal. And if you’re a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!

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At Boston Scientific, we recognize that nurturing a diverse and inclusive workplace helps us be more innovative and it is important in our work of advancing science for life and improving patient health. That is why we stand for inclusion, equality, and opportunity for all. By embracing the richness of our unique backgrounds and perspectives, we create a better, more rewarding place for our employees to work and reflect the patients, customers, and communities we serve.

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Boston Scientific Corporation has been and will continue to be an equal opportunity employer. To ensure full implementation of its equal employment policy, the Company will continue to take steps to assure that recruitment, hiring, assignment, promotion, compensation, and all other personnel decisions are made and administered without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identify, gender expression, veteran status, age, mental or physical disability, genetic information or any other protected class.

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Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.

","hiringOrganization":{"@type":"Organization","name":"Boston Scientific","sameAs":"https://www.bostonscientific.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Arden Hills, MN, US, 55112","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":48,"item":{"@type":"JobPosting","title":"Advisor - Clinical Research Scientist - Medical Affairs","datePosted":"2025-09-19","description":"

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

Eli Lilly Cork Is Made Up Of A Talented Diverse Team Of Over 2,000 Employees Across 60 Nationalities Who Deliver Innovative Solutions That Add Value Across A Variety Of Business Service Functions Including Finance, Information Technology, Medical, Clinical Trials And More. Eli Lilly Cork Offers A Premium Workspace Across Our Campus In Little Island, Complete With Flexible Hybrid Working Options, Healthcare, Pension And Life Assurance Benefits, Subsidized Canteen, Onsite Gym, Travel Subsidies And On-Site Parking. Inhouse People Development Services, Educational Assistance, And Our ‘Live Your Best Life’ Wellbeing Initiatives Are Just Some Of The Holistic Benefits That Enhance The Career Experience For Our Colleagues.

Eli Lilly Cork Is Committed To Diversity, Equity And Inclusion (Dei). We Cater For All Dimensions Ensuring Inclusion Of All Ethnicities, Nationalities, Cultural Backgrounds, Generations, Sexuality, Visible And Invisible Disabilities And Gender, With Four Pillars: Enable, Age & Culture, Lgbtq+ And Gin-Gender Inclusion Network. Enable, Our Pillar For People With Disabilities And Those That Care For Them, Partners With The Access Lilly Initiative To Make Our Physical And Digital Environment Accessible And Inclusive For All. Together They Are Committed To Promoting Awareness To Create A Disability Confident Culture Both At Eli Lilly Cork And Beyond.

Come Join Our Team - Be Creative, Be An Innovator, And Most Of All, Be Yourself!

Organization Overview:

Eli Lilly Gbs Cork, Ireland, Hosts A Unique 'Global Medical Affairs' Role Within The 'Medical And Scientific Capabilities' Organization. This Role Supports The Life Cycle Of The Immunology Portfolio, Contributing To Strategic Planning And Collaboration With Global Teams In Product Development Activities.

Through The Application Of Scientific And Clinical Expertise, The Clinical Research Scientist (Crs) Is An Integral Member Of The Medical Affairs Team For Strategic Planning And Execution.

Responsibilities:

As A Medical Affairs Crs, You Will Be An Integral Member Of Cross-Functional Teams, Collaborating With Other Crs And Clinical Research Physicians. Your Responsibilities Include:

Developing Global And/Or Regional Clinical/Medical Plans.
Contributing To The Development Of Promotional Materials And Medical Strategies.
Supporting Business-To-Business And Business-To-Government Activities.
Engaging In Scientific Data Dissemination And Exchange.
Participating In Clinical Planning, Trial Execution And Reporting.
Providing Regulatory Support Activities.

You Will Work Closely With Internal Teams Such As Clinical Development, Global Scientific Communications, Global Medical Information, Global Patient Safety, Value, Evidence And Outcomes, And The International Business Unit.

Basic Requirements:

Minimum 3 Years Of Medical Affairs Experience And Familiarity With Immunology Disease Areas (Rheumatology And Dermatology)
An Advanced Health/Medical/Scientific (Pharmacology, Physiology, Microbiology) Or Related Graduate Degree Such As Doctor Of Veterinary Medicine (Dvm), Doctor Of Pharmacy (Pharmd), Doctor Of Philosophy (Phd), Master Of Science In Nursing (Msn) With Advanced Clinical Specialty (Clinical Nurse Specialist/Nurse Practitioner) And One Of Following: 3-5 Years Of Clinical Experience; Or 3-5 Years Of Pharmaceutical Experience (Including 2 Years In Clinical Development)

Or

Bachelor’S Or Master’S Degree In Health/Medical/Scientific Or Related Field With 7-10 Years Of Pharmaceutical Experience Directly Related To Clinical Trials, Drug Discovery, Or Drug/Clinical Development (E.G., Epidemiology, Toxicology, Pharmacology, Regulatory Affairs, Medical Affairs).
Strong Communication, Interpersonal, Teamwork, Organizational, And Negotiation Skills.
Ability To Balance Scientific Priorities With Business Priorities And Influence Others Cross-Functionally.
Fluency In English, Both Verbal And Written Communication.
Flexibility To Engage In Domestic And International Travel As Needed To Support The Business Objectives.

Additional Skills/Preferences:

Proficient In Data Analysis And Interpretation.
Prior Work With Cross-Functional Teams And Ability To Collaborate Effectively Across Different Departments.
Proven Ability To Effectively Communicate Scientific And Clinical Information To Diverse Audiences.
Familiarity With Regulatory Requirements And Guidelines For Clinical Research And Drug Development.
Experience In Conducting Literature Reviews And Staying Abreast Of Developments In The Field Of Immunology.
Demonstrated Ability To Adapt To Changing Priorities And Work Effectively In A Fast-Paced Environment.

Additional Information:

Travel May Be Required, Both Domestically And Internationally And Is Planned To Be Around 10-15% Of The Time.
This Position Is Based At Eli Lilly Gbs Cork, Ireland.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

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

#Wearelillyukandireland

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Job Description

Research Scientist, Computational Drug Design

General Summary:

We are seeking a highly motivated and experienced computational chemist to join our Computational Drug Design group in Boston. This individual will be responsible for contributing to both hit/lead identification and optimization programs using methods encompassing all computational aspects of drug discovery. The right candidate's responsibilities include close interaction with interdisciplinary projects teams to identify and advance safe and efficacious molecules. In addition, this individual will work collaboratively with the global Data and Computational Sciences group to provide expertise in data analysis, cheminformatics, and physics-based methods development. Thus, this individual must demonstrate strong interpersonal skills and have demonstrated the ability to guide scientists in drug discovery.

Key Duties And Responsibilities:

Apply computational chemistry methods and tools to accelerate the discovery and development of drug candidates, in close collaboration with chemists, structural biologists, biologists and other research project scientists
Use timely decision making to ensure focus and delivery of key project objectives. Promote high levels of productivity and urgency
Leverage physics-based methods, generative models and machine learning approaches to design new chemical entities
Proactively work with other computational chemists and cheminformaticians to assess and develop new computational methodologies, create workflows and share successful methods
Contribute to the further development of Vertex’s computational chemistry capabilities with a focus on physics-based methods
Seek out opportunities to improve Vertex’s global R&D capabilities through collaboration with DMPK, Structural Biology, Safety Assessment, and other groups

Knowledge And Skills:

Excellent interpersonal, communication and presentation skills
In depth knowledge of physics-based methods and the state-of-the-art in computational chemistry and their application in drug discovery
Experience with commercial and open-source molecular modeling and data mining software
Knowledge of concepts related to drug discovery and development
Strong solution-oriented attitude, spirit of innovation and creativity, good time and priority management
Scripting and programming expertise in languages such as Python

Education And Experience:

Ph.D. (or equivalent degree) in Computational Chemistry and 2-5 years of productive, relevant post-doctoral employment experience
Experience in applying a wide array of molecular modeling methods to structure, ligand and fragment-based drug discovery projects

#Li-Km1

#Li-Hybrid

Pay Range:

$123,400 - $185,100

Disclosure Statement:

The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.

At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.

Flex Designation:

Hybrid-Eligible Or On-Site Eligible

Flex Eligibility Status:

In this Hybrid-Eligible role, you can choose to be designated as:
1. Hybrid: work remotely up to two days per week; or select
2. On-Site: work five days per week on-site with ad hoc flexibility.

Note: The Flex status for this position is subject to Vertex’s Policy on Flex @ Vertex Program and may be changed at any time.

Become A Part Of Our Caring Community And Help Us Put Health First

Are you driven by curiosity and a passion for improving health outcomes? Do you thrive on asking bold questions and uncovering insights hidden in complex data? We’re looking for a Research Scientist who brings both analytical rigor and creative thinking to the table—someone who’s eager to explore, experiment, and make a measurable impact on the lives of our members.
In this role, you’ll be at the forefront of healthcare innovation, designing studies, testing hypotheses, and translating data into strategies that drive better clinical decisions. You’ll collaborate with a team that values intellectual curiosity, evidence-based thinking, and a shared mission to transform care delivery.

Key Responsibilities:

Design and conduct rigorous research studies to evaluate clinical interventions and health outcomes.
Develop hypotheses and perform statistical testing using large-scale healthcare datasets.
Collaborate with cross-functional teams to identify opportunities for improving member health and care delivery.
Build and maintain analytical models using Python, SQL, and SAS.
Translate complex findings into clear, actionable insights for clinical and operational stakeholders.
Stay current with emerging trends in healthcare research, data science, and population health.
Contribute to publications, presentations, and internal knowledge sharing.
Master’s or PhD in Public Health, Epidemiology, Biostatistics, Data Science, or a related field.

Use Your Skills To Make An Impact

Required Qualifications

Proficiency in SQL, Python, and SAS for data manipulation and analysis.
Strong background in research design, hypothesis testing, and statistical modeling.
Experience working with healthcare data (claims, EMR, clinical registries, etc.) is a plus.
Excellent communication skills and a natural curiosity to explore complex problems.
Passion for improving health outcomes and making a meaningful impact.
Healthcare or managed care working experience

Preferred Qualifications

Demonstrated familiarity with clinical concepts related to a broad range of clinical conditions and disease states – experience with oncology, behavioral health and chronic conditions would be particularly valuable
Demonstrated familiarity with hypothesis testing, statistical methods, and/or comparative effectiveness study design and modeling techniques
Experience using Pyspark, DataBricks, and/or Microsoft Azure
Ability to work independently and collaboratively in a fast-paced environment.
A mindset that embraces continuous learning and innovation.

Wah Requirements:

Must have the ability to provide a high-speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.
A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.
Satellite and Wireless Internet service is NOT allowed for this role.
A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.

Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

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