MI
Mistral.aiVerified Direct Sponsor
Paris·unknown·full time
Live Vacancy·Posted 0d ago
Applied Scientist, EMEA
GBP 55,000 – 85,000 / yr
UK Skilled Worker Visa
VERIFIED Sponsorship
Salary Package
GBP 55,000 – 85,000 / yr
Standard baseline compensation
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UK Skilled Worker Visa
Verified employer route
Workplace Policy
unknown · GB
Paris
Application Type
Direct Employer
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Job Description & Specifications
Official role breakdown, eligibility standards, and core responsibilities
Key Requirements:Python
Applied Scientist, EMEA at Mistral.ai
📍 Paris
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.
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