Padmi
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Mistral

Large language models · Generative AI

Applied Scientist / Research Engineer (Internship)

Paris · OnsitePosted 17 days ago
AI researchInternFull Time
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About Mistral

Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms.

We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.

THE Role

As an Applied Scientist / Research Engineer Intern on the Mistral AI team, you will help drive new research and work closely with clients on complex technical challenges. The team is responsible for developing advanced models spanning different modalities such as text, image, and speech. Your work will have direct impact as you collaborate cross-functionally with science, engineering, and product teams to deliver practical AI solutions. This role is based in our Paris or London offices.

WHAT YOU WILL DO

  • Run pre-training, post-training, and deploy advanced models on GPU clusters

  • Troubleshoot technical issues, including OOM errors and NCCL communication

  • Generate and curate data for all stages of model development and evaluation

  • Build tools and frameworks for data generation, model training, evaluation, and deployment

  • Collaborate with internal and external teams to apply AI to diverse use cases, including agent and retrieval-augmented generation pipelines

  • Manage communications and research project workflows with client teams

  • Ensure models regularly meet or exceed performance expectations

What We're Looking FOR

  • Fluent English and clear communication skills with technical and non-technical audiences

  • Expertise in PyTorch or JAX

  • Confidence working independently with large codebases

  • Proficient in writing clean, efficient, and reliable Python code

  • Initiative to take ownership and deliver without heavy guidance

  • Collaborative attitude, low-ego, and willingness to keep learning

  • Demonstrated success through academic, professional, or personal technical projects

  • Experience or strong interest in areas like agents, multi-modality, robotics, diffusion models, or time-series analysis

What WE Offer

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