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- Tasks: Open-source cutting-edge AI models and enhance Mistral's libraries.
- Company: Join Mistral AI, a pioneering company transforming the future of AI.
- Benefits: Competitive salary, health insurance, remote work flexibility, and generous parental leave.
- Why this job: Make a real impact in the open-source community and shape AI technology.
- Qualifications: Master’s degree in relevant field and experience with open-source libraries.
- Other info: Dynamic team culture with excellent career growth opportunities.
The predicted salary is between 28800 - 48000 £ per year.
Join to apply for the Machine Learning Engineer, Open-Source Software role at Mistral AI.
About Mistral AI
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.
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
Nice to 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. 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
- Generous parental leave policy
- Visa sponsorship
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.
Seniority level: Not Applicable
Employment type: Full-time
Job function: Engineering and Information Technology
Industries: Technology, Information and Internet
Machine Learning Engineer, Open-Source Software - Paris/London in City of London employer: Mistral AI
Contact Detail:
Mistral AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer, Open-Source Software - Paris/London in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and open-source communities on platforms like LinkedIn or GitHub. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Contribute to open-source projects that align with Mistral's work. This not only builds your portfolio but also demonstrates your passion for the field. Plus, it’s a great way to get noticed by potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects. We want to see how you think and approach problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team at Mistral AI.
We think you need these skills to ace Machine Learning Engineer, Open-Source Software - Paris/London in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Machine Learning Engineer role. Highlight your contributions to open-source projects and any relevant programming skills, especially in Python and PyTorch.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about open-source software and how your background makes you a great fit for Mistral AI. Be genuine and let your personality shine through!
Showcase Your Projects: If you've worked on any notable projects, especially in the open-source community, make sure to include them. Links to GitHub repositories or live demos can really help us see your work in action.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Mistral AI
✨Know Your Open-Source Stuff
Make sure you brush up on your knowledge of popular open-source libraries like PyTorch and TensorFlow. Be ready to discuss your contributions and how they relate to Mistral's mission of enhancing the open-source ecosystem.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in machine learning projects. Highlight your experience with optimising models for performance and accuracy, as this will resonate well with the team at Mistral AI.
✨Emphasise Collaboration
Mistral values a low-ego, team-spirited approach. Be ready to talk about your experiences working in collaborative environments and how you’ve contributed to team success, especially in open-source settings.
✨Ask Insightful Questions
Prepare thoughtful questions about Mistral's open-source initiatives and their impact on the AI community. This shows your genuine interest in the role and helps you understand how you can contribute effectively.
