At a Glance
- Tasks: Design and run AI-accelerated simulations in physics and engineering.
- Company: Join Mistral AI, a pioneering company transforming the future of AI.
- Benefits: Competitive salary, equity, health insurance, gym membership, and hybrid work model.
- Other info: Work in dynamic locations like Munich, Paris, and London with excellent career growth.
- Why this job: Make a meaningful impact with cutting-edge AI technology in a collaborative environment.
- Qualifications: PhD in physics or engineering with 5+ years of industry experience.
The predicted salary is between 60000 - 80000 £ 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 needs, 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, 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.
About The Job
Mistral AI is looking for Applied Scientists with deep domain and industrial expertise in physics and engineering sciences to work at the frontier of AI-accelerated simulation. You will work with industrial customers and internal research teams to build and deploy AI Physics Models alongside our existing offerings of Large Language Models. You will contribute across the full stack: leveraging your deep domain expertise to understand complex problems that will be tackled with frontier AI. Curating high-fidelity simulation datasets, training and evaluating models, and delivering production‑grade AI solutions directly to engineering teams. Target domains include computational fluid dynamics, structural mechanics, semiconductor design, multi‑physics modelling, and digital twins. Working cross‑functionally with research, product, and customer‑facing teams, you will ensure our models meet real engineering standards, not just benchmark metrics.
What You Will Do
- Design and run large‑scale simulation campaigns using domain‑specific solvers (e.g. OpenFOAM, ANSYS, COMSOL, Abaqus)
- Run training of AI models on physics data, with rigorous evaluation of coverage, accuracy, and quality against industry validation standards
- Build tools and frameworks for automated dataset creation, simulation pipeline management, and model evaluation
- Collaborate closely with the science/research team on training runs and diagnose failure modes arising from data gaps or architecture limitations
- Manage research projects and client communications with engineering teams
About You
- Fluent English with excellent communication skills - able to explain technical simulation concepts to both engineering and non‑technical audiences
- Have a PhD in physics or engineering and 5 years+ of industry experience in a relevant domain. You work in a key engineering industry: Automotive, Aerospace or Semiconductors and have an interest in machine learning
- Self‑directed - you don't need detailed roadmaps to make progress
- Low‑ego, collaborative, and eager to learn at the intersection of simulation and ML
- Demonstrated success through industrial projects, academic work, or personal projects
It would be great if
- Have a deep passion for machine learning
- Have industrial or academic experience with simulation solvers (e.g. OpenFOAM, ANSYS, COMSOL, Abaqus, or equivalent)
- Have applied ML methods to simulation or surrogate modelling
- Have experience automating large‑scale simulation campaigns on HPC clusters
- Have contributed to a large open‑source or industry codebase
- Have publications in engineering or ML venues (NeurIPS, ICLR, etc.)
- Love improving existing code by fixing typing issues, adding tests and improving CI pipelines
Benefits
- Locations: Munich, Paris, London, Amsterdam, Lausanne, Linz. Hybrid work model.
- 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, Health insurance, Transportation reimbursement (office parking or £90/month public transport), £90/month gym membership reimbursement, £200/month meal allowance, Pension plan: SmartPension (5% Employee & 3% Employer)
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Applied Scientist / Domain Expert, AI4Engineering - EMEA in London employer: Mistral AI
Mistral AI is an exceptional employer that champions innovation and collaboration in the rapidly evolving field of AI. With a dynamic work culture that values creativity and low-ego teamwork, employees benefit from a hybrid work model, competitive salaries, and comprehensive health insurance, alongside generous parental leave policies. The company fosters professional growth through hands-on projects and cross-functional collaboration, making it an ideal place for those looking to make a meaningful impact in AI and engineering.
