Research Scientist, Gemini i18n jobs in United States
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Google DeepMind · 6 hours ago

Research Scientist, Gemini i18n

positionMountain View, California, US
timeFull-time
remoteOnsite
senioritySenior Level
money$141K/yr - $244K/yr

Google DeepMind is dedicated to driving fundamental research breakthroughs across key areas of Artificial Intelligence. As a Research Scientist, you will contribute to discovery by exploring novel algorithms and developing new theories, particularly in multilinguality and machine translation.

Artificial Intelligence (AI)Business DevelopmentFoundational AIMachine Learning
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Growth Opportunities

Responsibilities

Design, rapidly implement, and rigorously evaluate cutting-edge deep learning algorithms and data curation for multilingual generative AI, with a particular emphasis on cross lingual transfer as well as text and speech translation
Report and present research findings and developments clearly and efficiently internally, verbally and in writing
Suggest and engage in team collaborations to meet ambitious research goals, while also driving significant individual contributions
Work in collaboration with our Ethics and Governance teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity

Qualification

PhD in AIDeep learning researchGenerative AIPythonDeep learning frameworksCollaborative researchResearch publicationsLarge-scale training

Required

PhD in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, or equivalent practical experience
Relevant experience in deep learning research and development, particularly in generative AI and related to multilinguality and mixture-of-experts
Experience in software development with one or more programming languages (e.g., Python) and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch), with a track record of building high-quality research prototypes and systems

Preferred

Strong interest in multilingual LLMs
Demonstrated experience in large-scale training of multilingual and multimodal generative models
A track record of research or engineering achievements, including publications in peer-reviewed conferences or journals
Experience with large-scale model training and distributed computing environments
Experience working effectively in a collaborative research environment (industry or academic lab)
Experience initiating, leading, or significantly contributing to ambitious research projects

Benefits

Bonus
Equity
Benefits

Company

Google DeepMind

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Glassdoor4.5
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Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. It is a sub-organization of Google.
dateFounded in 2010
location
London, England, GBR
people-size501-1000 employees
web-link
https://deepmind.google

Funding

Current Stage
Late Stage
Total Funding
unknown
2014-01-26Acquired
2011-02-01Series A

Leadership Team

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Demis Hassabis
Co-Founder & CEO
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Aaron Saunders
VP of Hardware Engineering, Robotics
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