Principal Research Engineer, AI Systems
Google DeepMind · Mountain View, CA, USA
Frontier labonsiteprincipal$307k–$427k
At a glance
Highlights
- Build Agera Kernel to pre-compute expertise for complex domains
- Invent 0-to-1 AI features across Google DeepMind and Google
- Create Expert Models that outperform base models on multi-turn tasks
What they offer
- 30% bonus target
- equity
- benefits
Ideal candidate
Veteran builder and technical leader who thrives on 0-to-1 invention, bridging research and product to ship ambitious AI systems from prototype to scale.
Requirements
- Bachelor's degree in related technical field or equivalent practical experience
- 15 years of experience in engineering or related function
- Experience with modern LLM stack including agents, post-training, and evaluation
- Experience in software engineering, systems infrastructure, or AI/ML modeling with Python and C++
- Experience leading multi-team, cross-functional projects from inception to delivery
- Experience in information retrieval, search/ranking, clustering, or large-scale data processing
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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