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Research Scientist, Recommendation Systems, DeepMind

Job in Mountain View, Santa Clara County, California, 94043, USA
Listing for: Google
Full Time position
Listed on 2026-07-01
Job specializations:
  • Research/Development
    Research Scientist, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 174000 - 253000 USD Yearly USD 174000.00 253000.00 YEAR
Job Description & How to Apply Below

Research Scientist, Recommendation Systems

Deep Mind is looking for a Research Scientist to join their team in Mountain View, CA, USA or New York, NY, USA. The position offers a competitive salary range of $174,000 - $253,000 (USD) plus a 15% bonus target, equity, and benefits.

Minimum qualifications include a PhD in Machine Learning, Computer Science, or a relevant field, or equivalent practical research experience. You should have 2 years of experience in large language model post-training algorithms and infrastructure, with a focus on JAX.

Preferred qualifications include a proven track record of research excellence with publications at venues like NeurIPS, ICML, ICLR, or significant industry contributions.

As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. You'll also actively contribute to the wider research community by sharing and publishing your findings.

Google Deep Mind is a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, criminal histories consistent with legal requirements, or any other basis protected by law.

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