About this role

Google is hiring a mid-level Data Scientist based in Paris, France. The posting calls out experience with LLMs, Python, Deep Learning, Machine Learning and roughly 2+ years of relevant work. Listed education preference: a Ph.D. or equivalent. Compensation is listed at €104,000–€107,000 per year.

Role: Data Scientist
Function: data engineering
Level: mid
Track: Individual contributor
Employment: Full-time
Location: Paris, France
Experience: 2+ years
Education: Ph.D. preferred
Posted: Jul 6, 2026

AI Summary

Conduct empirical research to validate novel AI ideas and improve Gemini model performance. Develop data scaling intuitions, propose data curation solutions, and rapidly prototype new capabilities. Collaborate with Model, Infrastructure, and Post-Training teams on applied research.

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Job description

from Google careers

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.

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

Learn more about benefits at Google.

Responsibilities

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.

Minimum qualifications:

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.