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

Google· DeepMind
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Remote$262k - $364kfull-timePosted 2w ago

About the role

Role focused on core modeling and post-training experience (e.g., deep learning, LLMs, reinforcement learning) to build consumer agents. Design, research, and scale post-training methods, datasets, and evaluation frameworks for autonomous, adaptive agents.

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.

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.

Skills

Required:Core modeling and post-training researchLarge language models (LLMs)Reinforcement learningData analysis and model evaluation tooling

Benefits

  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at 6.15 hours per pay period for the first five years
  • Sick Time: 40 hours/year (Seattle 69 hours/year) 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
Last updated Oct 23, 2026. Interested? Apply on the company site.

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