Technical Program Manager, Scientific Intelligence for Gemini, DeepMind

Google LLC; Mountain View (CA); On-site; USD 217,000 - 236,000; Full time

Job summary

Google DeepMind in Mountain View, CA is seeking a Technical Program Manager for Science & Reasoning within Gemini to steer multi-disciplinary engineering projects from requirements to delivery. You will audit benchmarks, examine model reasoning trajectories, and collaborate with research scientists and engineers to align data, training priorities, and milestones across Gemini releases.

The role emphasizes rigorous scientific evaluation, fast iteration, and clear communication with stakeholders

Qualifications

• Bachelor's degree or equivalent practical experience in a relevant field.
• 5 years of experience with technical programs, research engineering, or applied AI/ML projects (3 years with PhD).

Responsibilities

• Lead complex, multi-disciplinary engineering programs and manage schedules and risks.
• Audit model benchmarks and reasoning traces; shape data and training priorities with researchers.
• Collaborate with research scientists and engineers across Gemini releases.

Skills

Technical program management

Research engineering

Applied AI/ML

Education

Bachelor's degree in Life Science/Physical Science/Mathematics/CS

Tools

Python

Job description

Technical Program Manager, Scientific Intelligence for Gemini, DeepMind

Share Technical Program Manager, Scientific Intelligence for Gemini, DeepMind

corporate_fare DeepMind place Mountain View, CA, USA

• Bachelor's degree in a Life Science (e.g., Computational Biology, Chemistry), Physical Science (e.g., Physics, Materials Science), Mathematics, or Computer Science, or equivalent practical experience.
• 5 years of experience with technical programs, research engineering, or applied AI/ML projects (or 3 years with a PhD).

Preferred qualifications:

• Experience analyzing model reasoning traces on graduate-level science problems, spotting flawed assumptions or hallucinations, and translating fixes into the training pipeline.
• Experience designing lightweight, high-leverage systems for fast-moving empirical research; comfortable writing quick scripts or digging directly into datasets.
• Knowledge of SFT data quality, RL reward signals, verifier calibration, and capability tradeoffs across model sizes.
• Ability to audit individual tasks and rubrics beyond benchmark metrics.
• Ability to thrive in ambiguous, high-velocity research environments; fluent in LLMs, SFT, RL, agentic evaluations, and Python-based scientific computing stacks.

About the job

Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.

Using your extensive technical and leadership expertise, you manage projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs.

As a Technical Program Manager for Science & Reasoning, you will sit at the intersection of frontier AI model development and rigorous scientific domains across the life and physical sciences.

You will be in the technical weeds of model development — auditing scientific benchmarks, inspecting model reasoning trajectories and computational workflows, stress-testing RL verifiers, and shaping data and training priorities alongside research scientists and engineers.

You will drive stellar execution for our Science & Reasoning workstreams: turning research hypotheses into high-signal training data, verifiable RL environments, frontier evaluations, and deliverable model milestones across Gemini releases.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

About the job

Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.

Using your extensive technical and leadership expertise, you manage projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs.

As a Technical Program Manager for Science & Reasoning, you will sit at the intersection of frontier AI model development and rigorous scientific domains across the life and physical sciences.

You will be in the technical weeds of model development — auditing scientific benchmarks, inspecting model reasoning trajectories and computational workflows, stress-testing RL verifiers, and shaping data and training priorities alongside research scientists and engineers.

You will drive stellar execution for our Science & Reasoning workstreams: turning research hypotheses into high-signal training data, verifiable RL environments, frontier evaluations, and deliverable model milestones across Gemini releases.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $217000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

• Partner with research leads in life/physical sciences and formal reasoning to translate hypotheses into structured roadmaps, data mixtures, and Gemini release milestones.
• Drive end-to-end execution for human data collection, synthetic data generation, SFT, and verifiable RL training environments like computational tool-use and code execution.
• Curate and audit the evaluation suite for scientific reasoning and agentic workflows, ensuring benchmarks measure real-world scientific validity.
• Work with post-training and RL leads to analyze checkpoints, inspect reasoning traces, identify capability gaps, and translate findings into immediate training interventions.
• Manage cross-functional dependencies across data infrastructure, evaluation platforms, compute allocations, and external domain-expert vendors. Synthesize training dynamics and bottlenecks into clear launch criteria and actionable updates for tech leads.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.