Google DeepMind, one of the world’s premier AI research organisations, is actively hiring Research Scientists for its Frontier AI team. This is a rare opportunity to work at the cutting edge of artificial intelligence, developing next-generation foundation models — multimodal, reasoning-capable, and transformative — with a team of world-class researchers. Roles are available on a rolling basis in London, Mountain View (CA), and New York.
Key Details
- Employer: Google DeepMind (part of Alphabet Inc.)
- Role: Research Scientist – Frontier AI
- Locations: London (UK), Mountain View (CA, USA), New York (NY, USA)
- Compensation: US base salary $136,000–$211,000/year (depending on location and experience) plus bonus, equity, and comprehensive benefits; UK/EU salaries are competitive and location-adjusted
- Key Responsibilities:
- Research and develop next-generation multimodal foundation models (text, images, audio, video)
- Conduct foundational research to expand the frontiers of AI capabilities
- Collaborate across global teams and publish high-impact research
- Work with large-scale training infrastructure (TPUs, JAX/PyTorch)
- Minimum Qualifications:
- PhD (or equivalent experience) in Machine Learning, Computer Science, Neuroscience, or a related technical field
- Demonstrated research track record (publications at top venues: NeurIPS, ICML, ICLR, Nature, etc.)
- Experience with deep learning frameworks (JAX, PyTorch, TensorFlow)
- Application: Rolling basis — apply at any time
- Official Application: Apply on Google Careers
Why Apply?
Google DeepMind has produced some of the most impactful AI breakthroughs of the past decade — AlphaFold, Gemini, AlphaGo — and continues to push the boundaries of what AI can do. As a Research Scientist on the Frontier AI team, you will have access to world-class computational resources, collaborate with top researchers globally, and contribute to research that shapes the future of AI safety, reasoning, and general intelligence.
Always verify deadlines and details on the official Google Careers website before applying.