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For Companies At a Glance
- Tasks: Build and optimise large-scale ML systems while collaborating with innovative researchers.
- Company: Join Mistral AI, a pioneering company transforming the future of AI.
- Benefits: Competitive salary, equity, health insurance, and generous parental leave.
- Why this job: Make a meaningful impact in AI and work with cutting-edge technologies.
- Qualifications: Master’s or PhD in Computer Science and 4+ years in large-scale ML.
- Other info: Dynamic, collaborative team with opportunities for growth 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 democratise 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.
Role Summary
The Research Engineering 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. 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;
- 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 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
- 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
UK:
- Competitive cash salary and equity
- Insurance
- Transportation: Reimburse office parking charges, or £90 per month for public transport
- Sport: £90 per month reimbursement for gym membership
- Meal voucher: £200 monthly allowance for meals
- Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)
Research Engineer, Machine Learning - 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 Research Engineer, Machine Learning - Paris/London in City of London
✨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! If you’ve got projects or contributions to open-source ML frameworks, make sure to highlight them. We love seeing practical examples of your work!
✨Tip Number 3
Prepare for the interview by brushing up on your deep learning techniques and coding skills. Practice explaining complex concepts simply; it shows you really understand your stuff!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who fit our team spirit.
We think you need these skills to ace Research Engineer, Machine Learning - Paris/London in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Research Engineer role. Highlight your experience with large-scale ML codebases and any hands-on work with PyTorch, JAX, or TensorFlow. We want to see how your skills align with what we do at Mistral!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and how you can contribute to our mission. Be sure to mention specific projects or experiences that showcase your expertise in deep learning and NLP.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links to your GitHub or any other platforms where we can see your code. We love seeing practical examples of your work and how you tackle challenges.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to join our dynamic team at Mistral!
How to prepare for a job interview at Mistral AI
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like PyTorch, JAX, or TensorFlow. Brush up on your knowledge of distributed training and be ready to discuss how you've applied these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in large-scale ML projects. Think about how you optimised pipelines or integrated new algorithms, and be ready to explain your thought process and the impact of your solutions.
✨Demonstrate Collaboration
Since Mistral values a collaborative spirit, come prepared with examples of how you've worked effectively in teams. Highlight any experiences where you’ve partnered with researchers or engineers to turn ideas into scalable code.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions that show your interest in their work. Inquire about their current projects, the team dynamics, or how they envision the future of AI at Mistral. This shows you’re genuinely interested in being part of their mission.
