At a Glance
- Tasks: Open-source cutting-edge AI models and enhance Mistral's libraries for the community.
- Company: Join Mistral AI, a pioneering company transforming the future of AI.
- Benefits: Competitive salary, health insurance, transportation allowance, and generous parental leave.
- Why this job: Make a real impact in the open-source ecosystem while working with innovative technology.
- Qualifications: Master’s degree in relevant field and experience with popular open-source libraries.
- Other info: Collaborative team culture with opportunities for in-person and remote work.
The predicted salary is between 36000 - 60000 £ per year.
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.
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, France and London, UK). 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. 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 week 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
Machine Learning Engineer, Open-Source Software – Paris/London employer: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer, Open-Source Software – Paris/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. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews – you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Contribute to open-source projects that align with Mistral's mission. This not only builds your portfolio but also gets you noticed by potential employers. Plus, it’s a great way to connect with like-minded individuals who share your passion for AI.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your past projects in detail. Practice common machine learning scenarios and be prepared to demonstrate your problem-solving abilities. Remember, confidence is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Tailor your application to highlight your experience with open-source software and machine learning, and don’t forget to showcase your collaborative spirit!
We think you need these skills to ace Machine Learning Engineer, Open-Source Software – Paris/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 languages, especially Python and PyTorch.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and open-source software. Share specific examples of your work and how it relates to Mistral's mission to democratise AI.
Showcase Your Projects: If you've worked on notable open-source projects or libraries, make sure to include links in your application. This gives us a chance to see your coding style and contributions 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 NLP PEOPLE
✨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 Collaboration Skills
Since Mistral values teamwork, prepare examples of how you've successfully collaborated with others in previous roles. Highlight any experiences where you worked closely with research or engineering teams to drive innovation.
✨Demonstrate Your Problem-Solving Mindset
Be ready to tackle hypothetical scenarios related to machine learning challenges. Think about how you would optimise models for performance and accuracy, and be prepared to share your thought process during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about Mistral's open-source initiatives and team dynamics. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.