AI Scientist
Mistral · On-site
MeritLog read this listing from Mistral's Ashby job board and last checked it on September 8, 2026.
Source: the employer's Ashby job board. Open the original listing for current details.
Job details
- Work model
- On-site
- Salary
- Not listed by source
- Location
- Paris
Hiring context
How this role compares at Mistral
Mistral has 186 live roles in MeritLog’s catalog across 11 job families, and 33 of them are in data & analytics. 0 of those listings publish a pay range, a disclosure rate of 0%.
Mistral concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
What the role asks for
What you'd do
- Research and develop novel methods to advance the capabilities of LLMs.
- Design and implement tooling and infrastructure for training, evaluating, and analysing AI models at scale.
- Collaborate with scientists, engineers, and product teams to ship AI systems with tangible impact.
- Explore and innovate across use cases such as reasoning, code generation, and agent-based systems.
- Work with multimodal data, including text, image, and speech, to expand model capabilities.
- Optimise distributed systems to improve the efficiency and scalability of model training.
- Contribute to the open-source community by releasing frontier models for public use.
- A track record of contributing to relevant scientific domains, such as publications or open-source projects.
- Hands-on experience with AI frameworks like PyTorch or JAX, or distributed systems such as Ray or Kubernetes.
- Proficiency in at least one programming language, such as Python, Rust, Go, or Java.
- Ability to design complex software systems and transition them into production environments.
- Experience with training large transformer models in a distributed setting.
- Familiarity with the full MLOps stack, including fine-tuning, evaluation, and deployment.
- A self-starter mindset with the autonomy to drive projects forward and collaborate effectively in a team.
- Strong engineering competence, with a focus on building scalable and reliable systems.
Parsed by MeritLog from the employer’s own posting. The full description follows below.
Job description
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 push the boundaries of AI by developing and scaling cutting-edge models. This role exists to advance Mistral’s mission of democratizing frontier intelligence, enabling businesses and consumers to benefit from open, high-impact AI systems. You will collaborate with a global, cross-functional team to design, build, and deploy models that solve real-world problems across reasoning, code, and multimodal applications. Your work will directly shape how AI integrates into daily life and enterprise operations. WHAT YOU WILL DO - Research and develop novel methods to advance the capabilities of LLMs. - Design and implement tooling and infrastructure for training, evaluating, and analysing AI models at scale. - Collaborate with scientists, engineers, and product teams to ship AI systems with tangible impact. - Explore and innovate across use cases such as reasoning, code generation, and agent-based systems. - Work with multimodal data, including text, image, and speech, to expand model capabilities. - Optimise distributed systems to improve the efficiency and scalability of model training. - Contribute to the open-source community by releasing frontier models for public use. WHAT WE'RE LOOKING FOR - A track record of contributing to relevant scientific domains, such as publications or open-source projects. - Hands-on experience with AI frameworks like PyTorch or JAX, or distributed systems such as Ray or Kubernetes. - Proficiency in at least one programming language, such as Python, Rust, Go, or Java. - Ability to design complex software systems and transition them into production environments. - Experience with training large transformer models in a distributed setting. - Familiarity with the full MLOps stack, including fine-tuning, evaluation, and deployment. - A self-starter mindset with the autonomy to drive projects forward and collaborate effectively in a team. - Strong engineering competence, with a focus on building scalable and reliable systems. 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 https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.