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

Google· DeepMind
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Hybrid (US locations)$207k - $300k + bonusFull-timePosted 2w ago

About the role

Research Engineer/Scientist role focusing on Agent Post-training and Personalization to build Consumer Agents, with emphasis on deep learning, large language models, and reinforcement learning to convert foundation models into autonomous, adaptive agents for consumers.

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

Skills

Required:Bachelor’s degree or equivalent practical experience8 years of software development experience5 years of experience testing and launching software products3 years of experience with software design and architectureExperience with large language models, reinforcement learning, and deep learning

Benefits

  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year
  • Sick Time: 40 hours/year (69 hours/year for Seattle)
  • Maternity Leave: 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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