# Research Engineer, Machine Learning

**Company**: Mistral AI
**Location**: Paris
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q119718658

**Apply**: https://jobs.lever.co/mistral/07447e1d-7900-46d4-b61b-186f2f76847f
**Canonical**: https://yubhub.co/jobs/job_ea503adf-fac

## Description

About the Role
================

We are seeking a Research Engineer to join our Machine Learning team. As a Research Engineer, you will work on building and optimizing large-scale learning systems that power our open-weight models.

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.
* 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.
* 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.

Benefits
-------

* Competitive cash salary and equity
* Food: Daily lunch vouchers
* Sport: Monthly contribution to a Gympass subscription
* Transportation: Monthly contribution to a mobility pass
* Health: Full health insurance for you and your family
* Parental: Generous parental leave policy
* Visa sponsorship

## Skills

### Required
- PyTorch
- JAX
- TensorFlow
- Distributed training
- Deep learning
- NLP
- LLMs
- CUDA
- Data pipeline
