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Data & AnalyticsHybrid

Applied Scientist, EMEA

Mistral · Hybrid

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Last seen by MeritLog September 11, 2026Source: AshbySource version: ashby-public-job-posting-v1

MeritLog read this listing from Mistral's Ashby job board and last checked it on September 11, 2026.

Source: the employer's Ashby job board. Open the original listing for current details.

Job details

Work model
Hybrid
Salary
Not listed by source
Location
Paris
Occupation
Data Scientists(O*NET 15-2051.00)

Hiring context

How this role compares at Mistral

Mistral has 194 live roles in MeritLog’s catalog across 11 job families, and 34 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

  • 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.
  • 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.

What they're asking for

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

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 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 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.

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