Research Scientist, Gemini Data, DeepMind

Google
Paris, France
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
€104,000.0 - €107,000.0
Working hours
Regular working hours
Job source

Tech stack

Big Data Distributed Computing Environment Large Language Models Information Technology

Job description

  • 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.

Requirements

  • 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.

Benefits & conditions

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 - €107000 (EUR) + 15% bonus target + equity + benefits

About the company

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., 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 (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle’s EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Apply for this position

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