Mistral AIPosted 2mo ago
Research Engineer, Robotics at Mistral AI scores 95 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.
AI in this role
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.
The Role
As a Research Engineer on the Robotics team, you will deploy and refine state-of-the-art AI models for mobile manipulation on real robots. This role exists to bridge the gap between cutting-edge research and real-world robotic applications, ensuring that Mistral’s in-house models are not only theoretically sound but also practical, scalable, and effective in dynamic environments.
You will join a team of engineers and researchers dedicated to pushing the boundaries of what robots can achieve. Your work will directly impact the development of autonomous systems, enabling them to operate reliably in complex, real-world scenarios. The scope of this role spans from architecting data pipelines for model training to maintaining fleets of diverse robots, all while collaborating closely with cross-functional teams to validate and iterate on robotic systems.
What You Will Do
Deploy state-of-the-art AI models for mobile manipulation on real robots in production environments.
Architect and optimize data pipelines to support the training of advanced robotics models on large-scale datasets.
Set up, maintain, and scale fleets of robots, ensuring their operational readiness and reliability.
Design and conduct experiments to validate robotic systems in real-world conditions.
Collaborate with engineers and researchers to refine models and improve system performance.
What We're Looking For
Hands-on experience developing software for real-world robotics applications.
Mastery of Python and a strong background as a software developer.
High engineering competence, with the ability to design complex systems and deploy them in production.
A self-starter mindset, with the autonomy to drive projects forward and the adaptability to collaborate effectively.
Experience with robotic control frameworks, such as ROS, and proficiency in sensor integration and actuator control.
Knowledge of control theory, machine learning, or computer vision as applied to robotics.
Experience with robotics simulators, hardware development, or maintaining large codebases.
A proactive approach, with a focus on delivering results and continuously improving systems.
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.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: Computer Vision. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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