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Alphabet · New York, NY

# Senior Research Scientist, Efficient Long Context and Memory, DeepMind

New York, NY, USA Senior individual contributor Research & Science 

Listed on Alphabet’s official careers site. Listed as of October 30, 2026. Check that it is still open and apply there.
[Apply on Alphabet’s careers site →](https://www.google.com/about/careers/applications/jobs/results/111853386130694854-senior-research-scientist-efficient-long-context-and-memory-deepmind)

[OpenNash Jobs](https://jobs.opennash.com/) / [Alphabet](https://jobs.opennash.com/companies/alphabet/) / Senior Research Scientist, Efficient Long Context and Memory, DeepMind

## Job description

### Minimum qualifications

PhD degree in Computer Science, a related field, or equivalent practical experience. Experience with post-PhD academic or industry research in the field of artificial intelligence (AI). One or more scientific publication submission(s) for conferences, journals, or public repositories (NIPS, ICML, ACL, CVPR, etc.).

### Preferred qualifications

Demonstrated experience in mentoring researchers and successfully translating fundamental AI research into major engineering systems or product applications. Deep, authoritative expertise in scaling deep neural network architectures. A real passion for AGI and shaping the future of AI safely and responsibly. A proven track record of acting as a technical lead or principal investigator on complex, large-scale machine learning projects.

About the job As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. 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.

From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are 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.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 23, 2026
- Last checked: Oct 30, 2026
- Listed for: 7 days
- Location: New York, NY, USA[Apply on Alphabet’s careers site →](https://www.google.com/about/careers/applications/jobs/results/111853386130694854-senior-research-scientist-efficient-long-context-and-memory-deepmind)

## Hiring at Alphabet
- Open jobs: 3,591
- New in the last 7 days: After two weekly collections
- Tracked since: Aug 20, 2026

[All Alphabet jobs](https://jobs.opennash.com/companies/alphabet/) · [Weekly hiring report](/reports/hiring/)

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