Frontier AI Research Scientist
Google DeepMind · Mountain View, CA, USA
Frontier labonsite$147k–$210k
At a glance
Highlights
- Drive post-training and reasoning research across LLMs and diffusion architectures.
- Advance self-distillation and RLxF recipes for complex agentic capabilities.
- Integrate breakthroughs into Thinking, Veo/Omni and Science products.
What they offer
- 15% bonus target
- equity
- benefits
Ideal candidate
Research-driven AI scientist with deep curiosity for reasoning and post-training who thrives bridging theory to real-world impact and publishing influential work.
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, related technical field, or equivalent practical experience
- 2 years of experience with ML/AI algorithms, tools, deep learning, or other AI/ML modeling
- 2 years of experience in Python and a related machine learning package (e.g., Keras, PyTorch and Hugging Face Transformers)
- 1 year of experience developing algorithms for intelligent agents, including planning, reinforcement learning, or multi-agent systems
- Experience in artificial intelligence or machine learning
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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