Senior Staff Research Scientist/Engineer, Agentic Post Training, DeepMind

Google; Kirkland (WA); On-site; USD 262,000 - 364,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Paid time off 20 days/year

Sick time 40 hours/year

Maternity leave 28-30 weeks

Baby bonding leave 18 weeks

Holidays 13 paid days

Job summary

Google DeepMind is seeking a Senior Staff Research Scientist/Engineer focused on core modeling and post-training experiences, including large language models, RL, and deep learning, to advance Gemini model recipes. This role emphasizes leadership and collaboration across teams to drive high-impact AI innovations.

Applicants should have a strong track record in scalable research, design and architecture, and mentoring, with location options in Mountain View, Kirkland, or remote where permitted.

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 with large language model, reinforcement learning, and deep learning.
• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 5 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

Responsibilities

• Specialize in core modeling and post-training experience. Drive the research process for large-scale agent post-training from hypothesis formulation to delivery in the Gemini model recipe.
• Design and execute ablation studies to validate research hypotheses and accelerate experimental feedback loops.
• Communicate research findings, progress, and outcomes to the broader team through visualizations and reports.
• Develop research infrastructure and utilities for data analysis and model evaluations using standard engineering practices.
• Collaborate with other research scientists and engineers to maintain a regular feedback and communication loop.

Skills

Large language models

Reinforcement learning

Deep learning

Software development

Architecture design

Technical leadership

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in Engineering/CS

Job description

Senior Staff Research Scientist/Engineer, Agentic Post Training, DeepMind

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corporate_fare DeepMind place Mountain View, CA, USA; Kirkland, WA, USA; +2 more; +1 more

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XIn accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance

• Retirement Benefits: 401(k) with company match

• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment

• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance

• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks

• Baby Bonding Leave: 18 weeks

• Holidays: 13 paid days per year

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Kirkland, WA, USA; San Francisco, CA, USA .

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 with large language model, reinforcement learning, and deep learning.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.

• 8 years of experience with data structures and algorithms.

• 5 years of experience in a technical leadership role leading project teams and setting technical direction.

• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

About the job

This role is dedicated to core modeling and post-training experience (e.g., deep learning, LLMs, and reinforcement learning). Because of this focus, candidates with primarily ML infrastructure (ML infra) backgrounds will likely find this is not the right profile for their skill set.

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: $262000 – $364000 (USD) + 25% bonus target + equity + benefits

Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/).

Responsibilities

• Specialize in core modeling and post-training experience. Drive the research process for large-scale agent post-training from hypothesis formulation to delivery in the Gemini model recipe.

• Design and execute ablation studies to validate research hypotheses and accelerate experimental feedback loops.

• Communicate research findings, progress, and outcomes to the broader team through visualizations and reports.

• Develop research infrastructure and utilities for data analysis and model evaluations using standard engineering practices.

• Collaborate with other research scientists and engineers to maintain a regular feedback and communication loop.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google’sApplicant and Candidate Privacy Policy (./privacy-policy).

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 alsoGoogle’s EEO Policy (https://www.google.com/about/careers/applications/eeo/), Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf), Belonging at Google (https://about.google/belonging/), and How we hire (https://careers.google.com/how-we-hire/).

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2).

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.

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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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.