Machine Learning Engineer, Open-Source Software - Paris/London

Posted 9 Days Ago
Be an Early Applicant
2 Locations
Hybrid
Mid level
Artificial Intelligence
The Role
The role involves open-sourcing models and maintaining libraries, optimizing performance, and collaborating with the open-source community. Requires expertise in machine learning and strong programming skills.
Summary Generated by Built In
About Mistral 

At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.

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 France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.

Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.

Role Summary

You will be in charge of open-sourcing state-of-the-art models, whilst maintaining and improving Mistral’s publicly available libraries. Your work is critical in helping turn research breakthroughs into tangible solutions and improve Mistral's open-source ecosystem.

About the Open Source Software team

Our OSS team is embedded in our Science team and works very closely with various engineering and marketing teams. All OSS team members can fluidly move on the production / research spectrum depending on where the needs are or where their interests lie

What you will do

Releasing our models to open-source platforms and libraries, e.g., vLLM, GitHub, Hugging Face
Maintaining Mistral’s open-source libraries (mistral-common, mistral-finetune, mistral-inference)
Create and maintain tooling and services: both internal facing (internal research) and external facing (open-source libraries)
Implement and optimize open-source and internal libraries for performance and accuracy, ensuring production readiness and employing cutting-edge technology and innovative approaches
Collaborate with the open-source community (PyTorch, vLLM, Hugging Face)

About you

Master’s degree in Computer Science, Machine Learning, Data Science, or a related field
Experience contributing to popular open-source libraries such as PyTorch, Tensorflow, JAX, vLLM, Transformers, Llama.cpp, ...
Passion for contributing to the open-source software ecosystem
Expert programming skills in Python, PyTorch, MLOps
Adaptable, proactive, and autonomous
Attention to detail and a drive to go the last mile to build almost perfect tools
Deep understanding of machine learning approaches, especially LLMs and algorithms
Low-ego, collaborative and have a real team player mindset

Now, it would be ideal if you have:

Experience with training and fine-tuning large language models (e.g., distillation, supervised fine-tuning, policy optimization)
Experience working with Slurm
Worked with research teams before
Experience as a core-maintainer of a popular ML open-source library

Location & Remote

This role is primarily based at one of our European offices (Paris and London). We will prioritize candidates who either reside there or are open to relocating. We strongly believe in the value of in-person collaboration to foster strong relationships and seamless communication within our team. Our remote work policy is designed to offer flexibility, enhance work-life balance, and boost productivity.

In certain specific situations, we will also consider remote candidates based in one of the countries listed in this job posting (currently France & UK). In that case, we ask all new hires to visit our local office:
•  for the first month of their onboarding (accommodation and travelling covered)
•  then at least 3 days per month

What we offer

💰 Competitive salary and equity
🧑‍⚕️ Health insurance
🚴 Transportation allowance
🥎 Sport allowance
🥕 Meal vouchers
💰 Private pension plan
🍼 Parental : Generous parental leave policy
🌎 Visa sponsorship

Top Skills

Jax
Mlops
Python
PyTorch
TensorFlow
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Paris
92 Employees
Year Founded: 2023

What We Do

Fast, open-source and secure language models. Facilitated specialisation of models on business use-cases, leveraging private data and usage feedback.

Built from a world-class team in Europe, targeting global market. Join the team ! https://jobs.lever.co/mistral/

Similar Jobs

Faculty (faculty.ai) Logo Faculty (faculty.ai)

Machine Learning Engineer

Artificial Intelligence • Machine Learning • Big Data Analytics
In-Office
London, Greater London, England, GBR
663 Employees

Faculty (faculty.ai) Logo Faculty (faculty.ai)

Senior Machine Learning Engineer

Artificial Intelligence • Machine Learning • Big Data Analytics
In-Office
Bournemouth, Dorset, England, GBR
663 Employees

Deepgram Logo Deepgram

EMEA Sales Leader

Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
In-Office or Remote
30 Locations
150 Employees
180K-220K Annually
Hybrid
London, Greater London, England, GBR
850 Employees

Similar Companies Hiring

Credal.ai Thumbnail
Software • Security • Productivity • Machine Learning • Artificial Intelligence
Brooklyn, NY
Standard Template Labs Thumbnail
Software • Information Technology • Artificial Intelligence
New York, NY
10 Employees
Scotch Thumbnail
Software • Retail • Payments • Fintech • eCommerce • Artificial Intelligence • Analytics
US
25 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account