Applied Scientist / Research Engineer, AI4Engineering - EMEA
Paris • Full-time
Posted 3mo ago
About the job
Mistral AI is seeking an Applied Scientist with deep expertise in engineering sciences to work at the forefront of AI-accelerated simulation. This role involves collaborating with industrial customers and internal research teams to build and deploy AI Physics Models, complementing our existing Large Language Models (LLMs). You will be involved in the entire process, from curating high-fidelity simulation datasets and training/evaluating models to delivering production-grade AI solutions directly to engineering teams. The target domains include computational fluid dynamics, structural mechanics, semiconductor design, multi-physics modeling, and digital twins. Working cross-functionally, you will ensure our models meet stringent engineering standards beyond just benchmark metrics.
Responsibilities
- Design and execute large-scale simulation campaigns using domain-specific solvers.
- Train AI models on physics data, rigorously evaluating coverage, accuracy, and quality against industry standards.
- Develop tools and frameworks for automated dataset creation, simulation pipeline management, and model evaluation.
- Build agents and RAG systems that integrate LLMs with engineering simulation workflows.
- Collaborate with the science/research team on training runs and diagnose failure modes.
- Manage research projects and client communications with engineering teams.
Requirements
- Fluent English with excellent communication skills, capable of explaining technical simulation concepts to diverse audiences.
- PhD or Master's degree in AI or an engineering science field (e.g., Mechanical Engineering, Electrical Engineering, Computational Fluid Dynamics, Structural Mechanics, Semiconductor Engineering) with a solid understanding of deep learning and engineering/physics.
- Proficiency with PyTorch or JAX for model implementation and training.
- Ability to write clean, readable Python code and comfort in Linux/HPC environments.
- Self-directed with the ability to make progress without detailed roadmaps.
- Low-ego, collaborative, and eager to learn at the intersection of simulation and ML.
- Demonstrated success through industrial projects, academic work, or personal projects.
Benefits
- Competitive cash salary and equity
- Daily lunch vouchers (France)
- Monthly contribution to a Gympass subscription (France)
- Monthly contribution to a mobility pass (France)
- Full health insurance for you and your family (France)
- Generous parental leave policy (France)
- Visa sponsorship
- Health insurance (UK)
- Transportation reimbursement (UK)
- Gym membership reimbursement (UK)
- Meal allowance (UK)
- Pension plan (UK)