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Senior Research Scientist, Efficient Long Context and Memory

Google DeepMind · New York, NY, USA

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

At a glance

Highlights

  • Identify weaknesses in agent capabilities and set roadmaps to solve them.
  • Deploy large-scale experiments quickly to improve products for billions.
  • Publish findings and represent DeepMind work at global research venues.

What they offer

  • 20% bonus target
  • equity
  • benefits

Ideal candidate

Post-PhD AI researcher who leads ambitious programs and mentors others, driven by safe AGI and turning fundamental ideas into real-world impact.

Requirements

  • PhD in Computer Science, related field, or equivalent practical experience
  • Post-PhD academic or industry research experience in AI
  • Scientific publication submission(s) for conferences, journals, or public repositories

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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