Senior Research Scientist, Efficient Long Context and Memory, DeepMind
New York, NY, USA · Senior · Full-time · Posted Oct 21, 2026
- Experience
- Post-PhD research experience required; no number of years stated.
- Education
- PhD in Computer Science, a related field, or equivalent practical experience.
About the job
Leads research into weaknesses in AI agent capabilities, setting research strategy and coordinating collaborations to advance high-impact AI research.
What you'll do
- Identify weaknesses in agent capabilities and establish research roadmaps and technical strategies.
- Mentor scientists and engineers, and lead collaborations across Google DeepMind.
- Present research findings and represent the work internally, externally, and at global venues; build external research collaborations.
What they ask for
- PhD in Computer Science, a related field, or equivalent practical experience.
- Post-PhD academic or industry research experience in artificial intelligence (AI).
- At least one scientific publication submission to a conference, journal, or public repository.
Nice to have
- Experience mentoring researchers and translating fundamental AI research into engineering systems or products.
- Expertise in scaling deep neural network architectures; technical leadership on large-scale machine learning projects is also valued.
Pay
$207000 - $300000 (USD) base salary
Tools
artificial intelligence (AI), deep neural network architectures, machine learning
AI focus
Research on AI agent capabilities and fundamental AI, including research strategy, scaling deep neural networks, and advancing AI safely and responsibly.
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