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Research Scientist, Gemini Agent Safety Post Training

Google DeepMind · Mountain View, CA, USA

Frontier labonsite$207k–$300k
Apply on the lab’s site ↗

At a glance

Highlights

  • Advance safety standards for DeepMind's flagship Gemini releases.
  • Identify safety gaps across Gemini and GenAI models to improve protections.
  • Drive aligned, production-ready architectures from research to product.

What they offer

  • 20% bonus target
  • equity
  • benefits

Ideal candidate

Research-minded builder with a PhD background who cares deeply about AI safety and alignment. You take end-to-end ownership and thrive turning research ideas into reliable products for billions.

Requirements

  • PhD in Computer Science, related field, or equivalent practical experience
  • 3 years of experience initiating, scoping, and executing research agendas
  • Peer-reviewed publication record or public preprints (e.g., NeurIPS, ICML, ICLR)

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 ↗

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