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Research Scientist, Gemini Agent Safety Post Training

Google DeepMind · Mountain View, CA, USA

CHECKED 6M AGO

Frontier labonsite$174k–$252k
Apply on the lab’s site ↗

At a glance

Highlights

  • Own safety standards for GDM flagship Gemini releases end-to-end.
  • Build mitigation frameworks and evaluations across launch surfaces.
  • Advance deep thinking and deep research capabilities for users.

What they offer

  • 15% bonus target
  • equity
  • benefits

Ideal candidate

PhD-level researcher and builder who ships safety-critical AI to production. You care about alignment, thrive under launch timelines, and turn research into real product impact.

Requirements

  • PhD in Computer Science, related field, or equivalent practical experience
  • 1 year experience with Generative AI, LLMs, NLP, or agent-based systems
  • Experience in AI safety and model alignment
  • Experience developing AI agents, safety-critical systems, or ML infrastructure
  • Expertise in reward modeling, RL for LLMs, instruction tuning, and long-range RL
  • Ability to drive research concepts to product realization with strong engineering record
  • Publication record at AI/ML venues such as NeurIPS, ICLR, ICML, EMNLP, AAAI, UAI

Lab profile

About Google DeepMind

Google's AI lab building frontier models like Gemini to advance science and general intelligence.

What they build

  • Gemini
  • Gemma
  • AlphaFold

Known for

  • Frontier foundation models and GenAI
  • Large-scale training with JAX, PyTorch, TensorFlow
  • Model evaluation and deployment expertise
  • Responsible frontier AI research

Key facts

  • Founded in 2010
  • Headquartered in London, UK
  • Part of Google (Alphabet)
More about Google DeepMind →
Apply on the lab’s site ↗