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# Research Engineer, Machine Learning

- **Company:** Mistral AI
- **Location:** Paris, France
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Code Review, Nvidia CUDA, Continuous Integration, Learning Management Systems, Distributed Computing Environment, Python (Programming Language), Machine Learning, Tensorflow, Pytorch, DeepSpeed, Large Language Models, Deep Learning, Kubernetes, Information Technology, Slurm, Machine Learning Operations, Data Pipelines
- **Published:** October 29, 2026
- **Apply:** https://www.welcometothejungle.com/en/companies/mistral-ai/jobs/research-engineer-machine-learning_paris

## About the Role

* Master's or PhD in Computer Science (or equivalent proven track record).

 * 4 + years working on large-scale ML codebases.

 * Hands-on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed / FSDP / SLURM / K8s).

 * Experience in deep learning, NLP or LLMs; bonus for CUDA or data-pipeline chops.

 * Strong software-design instincts: testing, code review, CI/CD.

 * Self-starter, low-ego, collaborative.

## Description

As a Research Engineer - ML track, you'll build and optimise the large-scale learning systems that power our open-weight models. Working hand-in-hand with Research Scientists, you'll either join:

 - Platform RE Team: Enhance the shared training framework, data pipelines and cluster tooling used by every team; or

 - Embedded RE Team: Sit inside a research squad (Alignment, Pre-training, Multimodal, Safety …) and turn fresh ideas into repeatable, scalable code.

What You Will Do

 * 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.

 * Design, implement and benchmark ML algorithms; write clear, efficient code in Python.