Staff Research Engineer, GenAI Reinforcement Learning
Google DeepMind · Mountain View, CA, USA
Frontier labonsitestaff$207k–$300k
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)
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