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Head of Research, Professional Intelligence

Google DeepMind · Mountain View, CA, USA

CHECKED 7M AGO

Frontier labonsitedirector$262k–$364k
Apply on the lab’s site ↗

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)
More about Google DeepMind →
Apply on the lab’s site ↗