Senior Staff Research Scientist, Gemini Safety Post-Training, DeepMind
DeepMind - Mountain View, CA, USA
Posted Jun 10, 2026
Benefits
- Parental leave
- 18 weeks From the posting source checked Jun 20, 2026
- Non-birth-parent leave
- 18 weeks From the posting source checked Jun 20, 2026
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Source-linked checked May 7, 2026
- Salary
- $262K-$365K From the posting source checked Jun 20, 2026
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
169% above the BLS role benchmark for software engineering aggregate.
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
- Equity
- Offered From the posting source checked Jun 20, 2026
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior Staff Research Scientist, Gemini Safety Post-Training, DeepMind Mountain View, CA, USA As models become more agentic, executing long-horizon tasks, using tools, writing and running code, operating across multi-step workflows, the challenge of making them safe fundamentally changes. Surface-level safety methods (output filtering, refusal tuning, policy guardrails) were designed for single-turn interactions. They are not enough for agents that plan, act, and adapt over extended horizons. We are looking for a Senior Staff Research Scientist to rethink safety post-training for this new reality. You will bring frontier post-training expertise, to develop training methods that make Gemini models deeply safe and aligned, especially in agentic settings. This role sits in Gemini Safety and partners closely with the Artificial General Intelligence (AGI) Safety team and the Gemini post-training organization. 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 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 - $365000 (USD) + 25% bonus target + bonus + equity + benefits Learn more about
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