AI Scientist

AI Scientist at Mistral AI scores 98 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

Remote (Palo Alto)FullTime

AI in this role

pytorchjax

fine-tuningml-opsnlp

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 AI Scientist, you will research and develop novel methods to advance the capabilities of large language models. This role exists to push the boundaries of what AI can achieve, enabling Mistral to deliver systems that transform how businesses operate and integrate into daily life.

You will join a team of engineers and scientists focused on building tooling and infrastructure to train, evaluate, and analyse AI models at scale. Your work will span multiple use cases and modalities, from reasoning and code generation to text, image, and speech processing.

The impact of this role is far-reaching, as you will collaborate cross-functionally to ship AI systems that have real-world applications and open-source frontier models for global benefit.

What You Will Do

Research and develop innovative methods to advance the frontier of large language models.
Build tooling and infrastructure to enable large-scale training, evaluation, and analysis of AI models.
Collaborate with scientists, engineers, and product teams to deploy AI systems with tangible real-world impact.
Design and implement solutions that address complex challenges in AI model development and deployment.
Contribute to the open-source community by releasing cutting-edge models and tools.

What We're Looking For

A strong publication record in a relevant scientific domain, such as machine learning or natural language processing.
High proficiency as a software engineer in at least one programming language, such as Python, Rust, Go, or Java.
Hands-on experience with AI frameworks like PyTorch or JAX, or distributed systems such as Ray or Kubernetes.
A self-starter mindset, with the autonomy to drive projects forward and the ability to work effectively in a team.
Experience with training large transformer models in a distributed manner.
Familiarity with the full MLOps stack, including fine-tuning, evaluation, and deployment.
Experience with audio or speech processing, including input/output and NLP.

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.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Fine TuningMl OpsNlpPyTorchJax

Questions you could be asked

Walk me through fine-tuning a model: what data did you use, and how did you check the result?
How do you monitor a model once it's live, and how do you know it needs retraining?
What NLP problem have you worked on, and how did you measure whether it actually worked?
What's a project where you used PyTorch hands-on?
Walk me through how you've used Jax in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Fine Tuning, Ml Ops, Nlp, PyTorch, and Jax. 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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