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For Companies At a Glance
- Tasks: Join a dynamic team to enhance AI tools and streamline ML pipelines.
- Company: Mistral AI, a pioneering company shaping the future of AI.
- Benefits: Competitive salary, equity, health insurance, and generous parental leave.
- Why this job: Make a meaningful impact in AI while working with cutting-edge technology.
- Qualifications: Master’s or PhD in Computer Science and 4+ years in large-scale ML.
- Other info: Hybrid work options available in Paris, London, or remote from EU/UK.
The predicted salary is between 28800 - 48000 ÂŁ 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, 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
About The Research Engineering Team
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
đź’° Competitive cash salary and equity
🥕 Food: Daily lunch vouchers
🥎 Sport: Monthly contribution to a Gympass subscription
đźš´ Transportation: Monthly contribution to a mobility pass
🧑⚕️ Health: Full health insurance for you and your family
🍼 Parental: Generous parental leave policy
UK
đź’° Competitive cash salary and equity
đźš‘ Insurance
đźš´ Transportation: Reimburse office parking charges, or ÂŁ90 per month for public transport
🥎 Sport: £90 per month reimbursement for gym membership
🥕 Meal voucher: £200 monthly allowance for meals
đź’° Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)
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. If you would like more information about how your data is processed, please contact us.
Research Engineer, Machine Learning - Paris/London/Zurich/Warsaw 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/Zurich/Warsaw in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with Mistral AI employees on LinkedIn. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning. Having tangible examples of your work can really set you apart during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and ML concepts. Practice common algorithms and be ready to discuss your thought process. We all know that confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Mistral AI team!
We think you need these skills to ace Research Engineer, Machine Learning - Paris/London/Zurich/Warsaw 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 AI!
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 team. Be sure to mention specific projects or experiences that relate to the role. We love seeing your personality come through!
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. Whether it's a personal project or something from your previous job, we want to see your practical experience in action. It helps us understand your approach to problem-solving!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our dynamic team at Mistral AI!
How to prepare for a job interview at Mistral AI
✨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 discuss how you've tackled complex challenges in large-scale ML pipelines. Think of examples where you’ve designed, implemented, or benchmarked algorithms, and be ready to explain your thought process and the impact of your solutions.
✨Demonstrate Collaboration and Low-Ego Attitude
Mistral AI 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
Prepare thoughtful questions about Mistral AI’s projects, culture, and future directions in AI. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
