Staff Research Scientist/Engineer, Consumer Agents Post Training, DeepMind

Staff Research Scientist/Engineer, Consumer Agents Post Training, DeepMind Share Staff Research Scientist/Engineer, Consumer Agents Post Training, DeepMind

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corporate_fare DeepMind place Mountain View, CA, USA ; Kirkland, WA, USA ; +3 more ; +2 more

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Share Staff Research Scientist/Engineer, Consumer Agents Post Training, DeepMind

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info_outline X In 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; New York, NY, 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 testing, and launching software products.

3 years of experience with software design and architecture.

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.

3 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 focuses on 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.

We are looking for a Research Engineer/Research Scientist to work on Agent Post-training and Personalization to build Consumer Agents. You will research, develop and scale foundational post-training methods that convert foundation models into autonomous, adaptive agents for consumers. Your focus centers on reinforcement learning, targeted data creation, and persistent context architectures so models retain user-specific state reliably over time and adapt to individual users. Additionally, you will build training datasets and evaluation frameworks to test long-horizon reasoning, uncover failure modes, and measure agent reliability across complex workflows.

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: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google .

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's Applicant and Candidate 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 also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

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