Research Scientist, Gemini Data, DeepMind
Listed on 2026-08-07
-
Science
Research Scientist, Data Scientist
Research Scientist, Gemini Data, Deep Mind
- link Copy link
Deep Mind place Paris, France ;
Mountain View, CA, USA
- link Copy link
X For France applicants:
Google welcomes people with disabilities.
Note:
By applying to this position you will have an opportunity to share your preferred working location from the following:
Paris, France;
Mountain View, CA, USA
- PhD degree in Computer Science, a related field, or equivalent practical experience.
- 2 years of experience in Large Language Model (LLM) modeling, including pre-training or fine-tuning.
- Experience with JAX or similar distributed training frameworks.
- Experience with running large-scale data processing pipelines.
- Experience collaborating on or leading applied research projects.
Artificial intelligence will be one of humanity’s most transformative inventions. At Google Deep Mind, 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
France: €104000 - €106000 (EUR) + 15% bonus target + equity + benefits
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
- Conduct careful empirical research to validate novel research ideas to improve the performance of Gemini models.
- Develop strong intuitions grounded in data scaling laws and theoretical insights that can lead to research breakthroughs and new model capabilities.
- Propose data curation, generation, and evaluation solutions to address model limitations.
- Propose, build, and rapidly prototype new ideas based on team needs.
- Collaborate closely with the wider Gemini team, including the Model, Infrastructure, and Post-Training teams.
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, expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.
See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc.
stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).