Applied Scientist, EMEA

Mistral AI is hiring an Applied Scientist, EMEA for a remote role open to applicants in France. Level rates it ; you can apply on Mistral AI.

Level's read on this job

Level rates this applied scientist role Builds AI ●●●●: the job is building AI systems.
The posting lists this role as remote.
Tools and skills the posting cites include PyTorch, JAX and Python.
Level classifies it as a senior role.
Level lists 234 other open roles at Mistral AI.

AI in this role

Develop and deploy state-of-the-art AI models and training infrastructure as an Applied Scientist at Mistral.

PyTorchJAXPython

deep-learningmachine-learningdistributed-systemsnlp

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

Mistral AI is seeking Applied Scientists and Research Engineers to drive innovative research and collaborate with clients on complex research projects.

You will develop SOTA models across different modalities such as text, image, and speech. By developing novel methods and research ideas you will apply these models across a diverse set of use cases and domains. Working cross-functionally with both external and internal science, engineering, and product teams you will deliver high-impact AI solutions that turn the needle. We are made of researchers, engineers, product builders, ex-founders who love tackling the most complex real world problems in the industry.

What You Will Do

Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs.
Work across a diverse set of complex real world problems such as robotics, engineering, finance, cybersecurity, physics and more.
Generate and curate data for pre-training and post-training, working on evaluations and making sure the model's performance beats expectations.
Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment.
Collaborate with cross-functional teams to tackle complex use cases using agents and retrieval pipelines.
Manage research projects and communications with client research teams.

What We're Looking For

Fluent in English with excellent communication skills — at ease explaining complex technical concepts to both technical and non-technical audiences.
Expert with PyTorch or JAX.
Not afraid of contributing to a big codebase; finds their way around independently with little guidance.
Writes clean, readable, high-performance, fault-tolerant Python code.
Doesn’t need roadmaps: moves independently and navigates uncertainty with confidence.
Low-ego, collaborative and eager to learn.
Track record of success through personal projects, professional projects or academia.

Nice to have

Ex-founder or builder
PhD / Master in a relevant field (Mathematics, Physics, Machine Learning) — exceptional candidates from other backgrounds welcome.
Research experience in agents, multimodal models, world models, robotics, diffusion models, cybersecurity, 3D understanding/generation, or time-series analysis.
Experience working on large code bases or large machine learning models at scale.
Contributions to a large open-source or industry codebase.
Publications in top academic journals or conferences.
Enjoys improving existing code: typing, tests, CI pipelines.

What We Offer

We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.

For the most up-to-date details on benefits available in your location, please refer to our Benefits page.

Privacy Policy

Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.

How we rate this

Applied Scientist, EMEA at Mistral AI rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Applied Scientist, EMEA is an open job at Mistral AI.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Paris and is marked remote.
The job was posted on July 29, 2026.
Seniority: senior.
Applications are handled by Mistral AI. Apply on Mistral AI

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Deep learningMachine learningDistributed SystemsNLPPyTorchJAXPython

Also common in applied scientist jobs at this level

C++Java Deep learning LLM Generative AI NLP

Pay

Typical applied scientist job: $167k

This posting doesn't list pay. Use the typical applied scientist figure when pay comes up. See applied scientist jobs

Questions you could be asked

Tell me about a project where deep learning was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where distributed systems was part of your work. What did you do?
What NLP problem have you worked on, and how did you measure whether it actually worked?
Walk me through how you've used PyTorch in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Deep learning, Machine learning, Distributed Systems, NLP, and PyTorch. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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