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- Tasks: Build and optimise large-scale ML systems while collaborating with research scientists.
- Company: Mistral AI is a pioneering company focused on democratizing AI for everyday tasks and creativity.
- Benefits: Enjoy competitive salary, equity, health insurance, gym contributions, and meal vouchers.
- Why this job: Join a dynamic team shaping the future of AI with innovative projects and a collaborative culture.
- Qualifications: Master’s or PhD in Computer Science with 4+ years in large-scale ML codebases and deep learning experience.
- Other info: Work hybrid in Paris/London or remotely within the EU/UK, with one hub day per month.
The predicted salary is between 36000 - 60000 ÂŁ per year.
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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.
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, optimised, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet the needs of enterprises, 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, the USA, the 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 Summary
About The Research Engineering Team
The team spans Platform (shared infra & clean code) and Embedded (inside research squads). Engineers can move along the researchproduction spectrum as needs or interests evolve.
As a Research Engineer – ML track, you’ll build and optimise the large-scale learning systems that power our open-weight models. Working hand-in-hand with Research Scientists, you’ll either join:
- Platform RE Team: Enhance the shared training framework, data pipelines and cluster tooling used by every team; or
- Embedded RE Team: Sit inside a research squad (Alignment, Pre-training, Multimodal, …) and turn fresh ideas into repeatable, scalable code
Location: Paris / London (hybrid) or remote EU/UK with one hub day per month.
What will you do
- 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 (sparsified 70 B + runs, distributed training on thousands of GPUs)
- 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
About You
- 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
France
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
UK
Competitive cash salary and equity
Insurance
Transportation: Reimburse office parking charges, or ÂŁ90 per month for public transport
Sport: ÂŁ90 per month reimbursement for gym membership
Meal voucher: ÂŁ200 monthly allowance for meals
Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)
Seniority level
-
Seniority level
Not Applicable
Employment type
-
Employment type
Full-time
Job function
-
Job function
Engineering and Information Technology
-
Industries
Technology, Information and Internet
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Research Engineer, Machine Learning employer: Mistral AI
Contact Detail:
Mistral AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer, Machine Learning
✨Tip Number 1
Familiarise yourself with Mistral AI's projects and technologies. Understanding their open-source models and how they integrate AI into daily tasks will help you demonstrate your enthusiasm and alignment with their mission during any discussions.
✨Tip Number 2
Network with current employees or alumni from your university who work at Mistral AI. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals, which can significantly boost your chances of landing an interview.
✨Tip Number 3
Showcase your hands-on experience with relevant tools like PyTorch, JAX, or TensorFlow in informal settings, such as meetups or online forums. This not only builds your confidence but also helps you connect with others in the field who might have ties to Mistral AI.
✨Tip Number 4
Stay updated on the latest trends in machine learning and AI, particularly in deep learning and NLP. Being able to discuss recent advancements or share your thoughts on future developments can set you apart as a knowledgeable candidate during interviews.
We think you need these skills to ace Research Engineer, Machine Learning
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, particularly with large-scale ML codebases. Emphasise your hands-on experience with frameworks like PyTorch, JAX, or TensorFlow.
Craft a Strong Cover Letter: In your cover letter, express your passion for AI and how it aligns with Mistral AI's mission. Mention specific projects or experiences that demonstrate your ability to contribute to their research engineering team.
Showcase Your Technical Skills: Include specific examples of your work with distributed training and deep learning techniques. Highlight any experience you have with CUDA or data pipelines, as these are valuable skills for the role.
Highlight Collaboration Experience: Since Mistral AI values a collaborative environment, mention instances where you've worked effectively in teams. Discuss how you’ve contributed to group projects or supported colleagues in achieving shared goals.
How to prepare for a job interview at Mistral AI
✨Showcase Your Technical Skills
Make sure to highlight your experience with large-scale ML codebases and frameworks like PyTorch, JAX, or TensorFlow. Be prepared to discuss specific projects where you've implemented deep learning techniques, as this will demonstrate your hands-on expertise.
✨Understand Mistral AI's Culture
Familiarise yourself with Mistral AI's collaborative and low-ego culture. During the interview, express your enthusiasm for teamwork and innovation, and share examples of how you've thrived in similar environments.
✨Prepare for Technical Questions
Expect technical questions related to distributed training and ML algorithms. Brush up on concepts like DeepSpeed, FSDP, and SLURM, and be ready to explain how you would approach designing and benchmarking ML algorithms.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team dynamics. Inquire about the specific challenges the Research Engineering Team is currently facing and how you can contribute to overcoming them. This shows your genuine interest in the position.
