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Research Engineer, Gen Media

Google DeepMind · Mountain View, CA, USA

Frontier labonsite$174k–$252k
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At a glance

Highlights

  • Set up large-scale tests and deploy promising ideas quickly and broadly.
  • Advance AI to solve complex global challenges for billions of users.
  • Lead high-impact collaborations across DeepMind on shared research goals.

What they offer

  • 15% bonus target
  • equity
  • benefits

Ideal candidate

Collaborative applied researcher who loves tackling ambitious AI challenges and turning ideas into real-world impact. Motivated by public benefit, scientific discovery, and staying connected to the wider research community.

Requirements

  • Bachelor's degree in Computer Science, Mathematics, Applied Statistics, Machine Learning or equivalent practical experience
  • 5 years of experience with TensorFlow or similar ML frameworks (e.g., JAX or PyTorch)
  • 2 years of experience in an applied research setting
  • Experience with training diffusion models
  • Experience working in industry and on projects from proof-of-concept through to implementation

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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