Senior Research Scientist, Efficient Long Context and Memory, DeepMind
Google, New York, New York
About the job
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.