Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Accelerate AI research by building robust ML tools and integrating cutting-edge techniques.
- Company: Join Mistral AI, a pioneering company transforming the future of AI.
- Benefits: Competitive salary, equity, health insurance, meal vouchers, and gym contributions.
- Why this job: Make a meaningful impact in AI while working with innovative technologies.
- Qualifications: Master’s or PhD in Computer Science and 4+ years in large-scale ML codebases.
- Other info: Dynamic, collaborative team with opportunities for growth across Europe.
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 as well as personal needs. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute – a suite that brings frontier intelligence to end-users. 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
About the Research Engineering team. The team spans Platform (shared infra & clean code) and Embedded (inside research squads). Engineers can move along the research↔production spectrum as needs or interests evolve. Location Paris / London (hybrid) or remote from EU/UK.
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
- Daily lunch vouchers
- Monthly contribution to a Gympass subscription
- Monthly contribution to a mobility pass
- Full health insurance for you and your family
- Generous parental leave policy
- Visa sponsorship
UK:
- Competitive cash salary and equity
- Insurance
- Reimburse office parking charges, or £90 per month for public transport
- £90 per month reimbursement for gym membership
- £200 monthly allowance for meals
- Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)
Research Engineer, Machine Learning – Paris/London/Zurich/Warsaw employer: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer, Machine Learning – Paris/London/Zurich/Warsaw
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning space, especially those at Mistral. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving large-scale ML pipelines or deep learning techniques. This is your chance to shine beyond the CV.
✨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 experiences in detail.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of the Mistral team.
We think you need these skills to ace Research Engineer, Machine Learning – Paris/London/Zurich/Warsaw
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Research Engineer role. Highlight your experience with large-scale ML codebases and any hands-on work with PyTorch, JAX, or TensorFlow.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for Mistral. Share specific examples of your work in deep learning or NLP to really stand out.
Showcase Your Projects: If you've worked on relevant projects, whether personal or professional, make sure to include them. We love seeing prototypes or production-grade components you've delivered, especially if they relate to our offerings like Le Chat.
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 Tech Inside Out
Make sure you’re well-versed in the latest deep learning techniques and frameworks like PyTorch, JAX, or TensorFlow. Brush up on your experience with distributed training and be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex ML pipelines in the past. Think of examples where you’ve built robust tools or integrated research with production, and be ready to explain your thought process and the impact of your work.
✨Demonstrate Collaboration and Low-Ego Attitude
Mistral values a team-spirited approach, so be prepared to share experiences that highlight your ability to work collaboratively. Discuss how you’ve contributed to team success and how you handle feedback and code reviews.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in Mistral’s culture and future projects. Inquire about their approach to innovation in AI or how they support continuous learning within the team.