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Staff Research Engineer, GenAI Reinforcement Learning

Google DeepMind · Mountain View, CA, USA

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

At a glance

Highlights

  • Improve foundational models into more helpful and powerful AI agents via RL.
  • Develop innovative post-training solutions to advance Gemini model capability.
  • Collaborate across DeepMind and Google to apply models in key products.

What they offer

  • 20% bonus target
  • equity
  • benefits

Ideal candidate

An experienced technical leader passionate about advancing helpful, safe AI agents through reinforcement learning who thrives collaborating across research and product teams.

Requirements

  • Bachelor's degree or equivalent practical experience
  • 8 years of experience in software development
  • 5 years of experience testing and launching software products
  • 3 years of experience with software design and architecture
  • Experience with reinforcement learning, machine learning and deep learning
  • Master's degree or PhD in Engineering, Computer Science or related field (preferred)
  • 8 years of experience with data structures and algorithms (preferred)
  • 3 years in technical leadership leading project teams (preferred)
  • Experience developing RL algorithms, frameworks or infrastructure (preferred)

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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