At a Glance
- Tasks: Transform customer needs into reliable AI training workflows and improve ML systems.
- Company: Join Mistral, a dynamic team passionate about AI innovation across various industries.
- Benefits: Comprehensive benefits package including healthcare, wellness programs, and work-life balance support.
- Other info: Opportunity for growth in a fast-paced, collaborative environment.
- Why this job: Make a real impact in AI by collaborating with experts and driving system improvements.
- Qualifications: Strong Python skills, experience with ML frameworks, and excellent debugging abilities.
The predicted salary is between 59400 - 72600 £ per year.
About Mistral
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute.
We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms.
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 Europe, North America, Asia and the Middle East.
We are creative, low-ego and team-spirited.
Role Summary
As a Research Engineer on Forge, you will turn real customer requirements into reliable training and deployment workflows.
You’ll work end‑to‑end across model adaptation and post‑training (CPT/SFT/RL/distillation), evaluation, data, and infrastructure.
The role bridges research experimentation and production constraints.
This role sits in Applied Science, with direct impact on client outcomes.
You’ll collaborate closely with scientists, engineers, product, and customer‑facing teams to ensure Forge projects ship, are maintainable, and can be trusted by others.
Interview focus can vary (algorithms, infrastructure, evals, or data). You don’t need to match every bullet below to apply.
What You Will Do
- Build and improve post‑training and evaluation workflows (CPT/SFT/RL/distillation), turning prototypes into repeatable Forge “recipes”.
- Develop tools and pipelines for synthetic data generation, data curation, training, evaluation, and deployment.
- Debug and harden large‑scale ML systems: distributed training, scheduling/execution, checkpointing, observability, and reproducibility.
- Improve the Forge codebase via clear APIs, tests, documentation, and maintainable abstractions.
- Push the frontier of our RL training stack (e. g., high-throughput async rollout and scalable post‑training systems at frontier-model scale).
- Make sure Forge deployment is seamless and adaptable to a diversity of clients (hardware access, software stack, cloud and on‑premises, …).
- Partner with researchers and infrastructure engineers to translate bottlenecks into concrete system improvements.
About You
- Strong Python engineering skills and experience working in large codebases (testing, code review, CI, operational ownership).
- Hands‑on experience with Py Torch, JAX, or similar.
- Strong systems and infrastructure fundamentals.
- Experience with LLM training or post‑training: fine‑tuning, RL, distillation, evaluation, and/or data pipelines.
- Excellent debugging skills in ambiguous systems (distributed jobs, data issues, quality regressions, infra failures).
- Clear communication with technical and non‑technical stakeholders.
- High agency, low ego, and comfort in fast‑moving, under‑specified environments.
- Nice to have
- Distributed training experience (FSDP, Deep Speed, Megatron, etc.).
- Cluster/orchestration experience (SLURM, Ray, Kubernetes, Kueue, Karpenter, Skypilot, etc.).
- Experience building reliable ML infrastructure, evaluation systems, or large‑scale data processing pipelines.
- Research experience in LLMs, agents, multimodal models, reasoning, code, or domain adaptation.
- Open‑source contributions, publications, or widely used internal tooling.
- Experience training multi‑billion‑parameter models (pre‑training or RL). Experience training on petabyte- and exabyte-scale datasets.
- Ability to identify bottlenecks across the stack and drive improvements from first principles.
What we offer
We offer a comprehensive benefits package designed to support your well-being, growth, and work‑life balance.
Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location‑specific perks.
For the most up‑to‑date details on benefits available in your location, please refer to our Benefits page.
Privacy Policy
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.
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Research Engineer, Forge employer: Mistral
Mistral is an exceptional employer that fosters a dynamic and collaborative work culture, where innovation thrives and diverse teams come together to tackle complex challenges in AI. As a Recruiting Operations Manager, you will benefit from a comprehensive package of perks tailored to support your well-being and professional growth, all while working in a company that values creativity and continuous improvement. With opportunities for meaningful contributions and a commitment to employee development, Mistral stands out as a rewarding place to advance your career in a rapidly evolving industry.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer, Forge
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Mistral or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Mistral.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Mistral.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Mistral that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Research Engineer, Forge
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Mistral.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Mistral and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Mistral
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Mistral uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
