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About the Role

As a Research Engineer – ML track, you’ll build and optimise the large-scale learning systems that power our open-weight models. You will either enhance the shared training framework, data pipelines and cluster tooling, or sit inside a research squad to turn fresh ideas into repeatable, scalable code.

Responsibilities

• Accelerate researchers by taking on the heavy parts of large-scale ML pipelines and building robust tools.
• Interface cutting-edge research with production: integrate checkpoints, streamline evaluation, and expose APIs.
• Conduct experiments on the latest deep-learning techniques (sparsified 70 B + runs, distributed training on thousands of GPUs).
• Design, implement and benchmark ML algorithms; write clear, efficient code in Python.
• Deliver prototypes that become production-grade components for Le Chat and our enterprise API.

Requirements

• Master’s or PhD in Computer Science (or equivalent proven track record).
• 4 + years working on large-scale ML codebases.
• Comfortable with distributed training (DeepSpeed / FSDP / SLURM / K8s).
• Strong software-design instincts: testing, code review, CI/CD.

Skills

• PyTorch
• JAX
• TensorFlow
• Deep learning
• NLP
• LLMs
• CUDA
• Data-pipeline

Location

• Europe
• North America
• Asia
• Middle East

Work Type

• Full-time

Experience Level

• 4+ years

Education Level

• Master's or PhD

Benefits

• Comprehensive benefits package
• Healthcare coverage
• Parental leave
• Retirement plans
• Relocation support
• Wellness programs
• Meal and transportation allowances

About the Company

• 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.