Senior Staff Software Engineer, AI/ML

Minimum Qualifications:

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience with design and architecture; and testing/launching software products.
• Experience in Machine Learning or Artificial Intelligence.

Preferred Qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures/algorithms.
• 5 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in an organization involving cross-functional, or cross-business projects.
• Experience with debugging tools and techniques.
• Excellent communication and collaboration skills.

About The Job

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

In this role, you will focus on transforming the Software Development Life Cycle (SDLC) Google has using the latest Gemini models and Artificial Intelligence (AI) innovations. You will lead AI initiatives in Developer focusing on leveraging the latest Gemini models and agentic frameworks to launch AI powered agentic experiences in the outer loop SDLC (e.g., production debugging, application creation, task management etc.) for Googlers. You will innovate on AI agentic capabilities while collaborating with our research team, Agentic frameworks team and other outer loop products teams. You will also collaborate cross-functionally to form the strategy with stakeholders and deliver on the AI agentic experiences for our businesses and Googlers.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

The US base salary range for this full-time position is $248,000-$349,000 + 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

• Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.
• Drive technical project strategy, lead large-scale Machine Learning (ML) infrastructure optimization, and oversee the design and implementation of solutions across multiple specialized ML areas.
• Lead the development and execution of AI strategies, focusing on areas such as bug fixing, debugging, error fixing, and AIPG production agent.
• Work closely with product managers, technical program managers, and other engineering teams to define requirements and deliverables.
• Develop and implement evaluation plans and metrics for AI solutions.