Senior Staff Research Scientist/Engineer, Agentic Post Training, DeepMind DeepMind - 5.0 Kirkland, WA Job Details Full-time $262,000 - $364,000 a year 21 hours ago Benefits Paid holidays Disability insurance Health insurance Dental insurance Paid time off Parental leave Vision insurance 401(k) matching Qualifications AI models Software engineering Reinforcement learning Software design Engineering development testing Developing large-scale AI models Design engineering Product design Software testing Engineering product development Implementing machine learning algorithms Technical architecture Full Job Description 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; 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 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. 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.