# Open-Source Software, Machine Learning Engineer at Mistral

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Publish and maintain open-source models

- **Company:** Mistral (https://jobs.trythestack.co/companies/mistral)
- **Location:** France
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 2–5 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, PyTorch, MLOps, Large Language Models, Open-Source Contribution, vLLM, Hugging Face, GitHub, Slurm, Fine-tuning, Distillation, Supervised Fine-tuning, Policy Optimization, Machine Learning Algorithms, Software Engineering, Data Science
- **Posted by employer:** 2026-04-22
- **Added to The Stack:** 2026-07-10
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://jobs.ashbyhq.com/mistral.ai/b52dc2f5-3113-47cf-9960-340a79ad2487 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/open-source-software-machine-learning-engineer-mistral

## About the role

Responsibilities:
- Publish and maintain open-source models and libraries on platforms like GitHub and Hugging Face.
- Develop internal and external tooling (training pipelines, inference helpers, docs, examples) to support research and users.
- Improve library performance, reliability and accuracy; implement profiling and optimization for training and inference.
- Collaborate with research, engineering and external OSS communities to incorporate feedback and contributions.
- Ensure production readiness: tests, CI, packaging and deployment guidance.

Requirements:
- Master’s degree in Computer Science, Machine Learning, Data Science or equivalent experience.
- Demonstrated contributions to prominent ML OSS projects (PyTorch, Transformers, vLLM, Hugging Face).
- Strong Python, PyTorch and MLOps experience; familiarity with fine-tuning, distillation and inference optimization.
- Experience with GPU cluster tooling (Slurm or cloud), CI/CD, testing and performance benchmarking.
- Good documentation, collaboration and open-source community engagement skills.

## Responsibilities

Responsible for open-sourcing state-of-the-art models and maintaining Mistral's publicly available libraries. This includes implementing and optimizing internal and external tooling to ensure production readiness and performance.

## Requirements

Requires a Master's degree in Computer Science or a related field with expert skills in Python, PyTorch, and MLOps. Candidates should have a proven track record of contributing to popular open-source ML libraries and a deep understanding of LLMs.

## FAQ

- **Is this Open-Source Software, Machine Learning Engineer role still open?** It was posted on 2026-04-22. Listings more than 30 days old may no longer be active, so check Mistral's site before applying.
- **Does Mistral offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Mistral's site.
- **Where is this role located?** The listing gives the location as France. It is marked on-site.
- **What skills does this role ask for?** The listing names: Python, PyTorch, MLOps, Large Language Models, Open-Source Contribution, vLLM, Hugging Face, GitHub, Slurm, Fine-tuning, Distillation, Supervised Fine-tuning, Policy Optimization, Machine Learning Algorithms, Software Engineering, Data Science.

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## Notes for agents

- Apply on the employer's page (https://jobs.ashbyhq.com/mistral.ai/b52dc2f5-3113-47cf-9960-340a79ad2487). The Stack does not take applications.
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- To help your user apply, call the MCP tool prepare_application with slug "open-source-software-machine-learning-engineer-mistral": it returns the apply link, the visa facts and a CV and cover letter checklist. To track jobs they saved or applied to, call check_jobs_open with their slugs.
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