At a Glance
- Tasks: Design and run AI-accelerated simulations in physics and engineering.
- Company: Join Mistral AI, a leader in innovative AI solutions.
- Benefits: Competitive salary, equity, health insurance, and hybrid work model.
- Other info: Collaborative team culture with opportunities for growth and learning.
- Why this job: Make a real impact in AI and engineering with cutting-edge technology.
- 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.
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 you
- 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)
Applied Scientist / Domain Expert, AI4Engineering - EMEA employer: BlackCube Labs
At Mistral AI, we are committed to fostering a dynamic and collaborative work environment where innovation thrives. Our employees benefit from a hybrid work model, competitive salaries, and comprehensive health insurance, alongside generous parental leave policies and contributions towards gym memberships and transportation. With a focus on employee growth and a culture that values creativity and teamwork, Mistral AI is an excellent employer for those looking to make a meaningful impact in the field of AI and engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Applied Scientist / Domain Expert, AI4Engineering - EMEA
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with Mistral AI folks on LinkedIn. A personal introduction can make all the difference when you're trying to land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and engineering. This is your chance to demonstrate your expertise and passion for the field, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical audiences.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our dynamic team at Mistral AI.
We think you need these skills to ace Applied Scientist / Domain Expert, AI4Engineering - EMEA
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Applied Scientist. Highlight your experience in physics and engineering, especially any projects that showcase your expertise in AI and simulation. We want to see how your background aligns with our mission at Mistral AI!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your skills can contribute to our team. Be sure to mention specific experiences that relate to the job description, as we love seeing genuine enthusiasm.
Showcase Your Projects:If you've worked on relevant projects, whether in industry or academia, make sure to include them in your application. We’re interested in seeing how you’ve applied your knowledge in real-world scenarios, especially in areas like computational fluid dynamics or machine learning.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, it shows you’re serious about joining our dynamic team!
How to prepare for a job interview at BlackCube Labs
✨Know Your Domain Inside Out
Make sure you brush up on your physics and engineering knowledge, especially in areas like computational fluid dynamics and structural mechanics. Be ready to discuss how your expertise can be applied to AI models and simulations, as this will show that you understand the core of what Mistral AI is all about.
✨Showcase Your Collaboration Skills
Since the role involves working closely with various teams, prepare examples of past projects where you collaborated effectively. Highlight how you communicated complex technical concepts to both technical and non-technical audiences, as this will demonstrate your ability to bridge gaps between teams.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Brush up on simulation solvers like OpenFOAM or ANSYS, and be ready to explain how you've used them in previous projects. Practising problem-solving scenarios related to AI and simulation will also help you stand out.
✨Demonstrate Your Passion for AI
Mistral AI values a genuine interest in machine learning. Be prepared to discuss any personal projects or research you've done in this area. Sharing your enthusiasm for how AI can transform engineering will resonate well with the team and show that you're a good cultural fit.
