Head of Research, Professional Intelligence
Google DeepMind · Mountain View, CA, USA
CHECKED 7M AGO
Frontier labonsitedirector$262k–$364k
At a glance
Highlights
- Building domain-specific AI architecture for high-stakes industries.
- Contributing evaluations and datasets to broader Gemini training effort.
- Improving agent performance across enterprise product surfaces.
What they offer
- 25% bonus target
- equity
- benefits
Ideal candidate
Seasoned research leader passionate about safe, transformative AI for high-stakes domains. You thrive in ambiguity, mentor teams, and turn deep research into real enterprise impact.
Requirements
- PhD in Computer Science, Mathematics, Applied Statistics, Machine Learning, or related quantitative field or equivalent practical experience
- 10 years of experience in applied NLP research and productionization including advanced prompting and LLM fine-tuning or reinforcement learning
- 4 years of experience leading technical or research teams and mentoring engineers
- Startup experience iterating fast and exploring multiple strategies to optimize performance
- Exposure to production ML systems or experience with model deployment
- Track record building AI software for specific industries via top publications or open source artifacts
- Demonstrated ability to deliver clean, maintainable, production-grade code in Python
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)