AI Scientist - Agentic Engineering
Mistral AIVisit Mistral AI website
Paris-based AI company building frontier models, AI applications, developer tools, and compute infrastructure for enterprise and public-sector deployments.
Paris, France
About Mistral AI
Mistral AI develops open-weight and commercial language models and provides a full-stack AI platform spanning agents, application development, custom-model training, APIs, and AI cloud infrastructure.
Skills
About the Role
You will build pre and post-training data that lets Mistral's LLMs reason about and execute real engineering tasks across CAD, CAE and semiconductor/EDA. You will also help shape the agent architectures and harnesses that let models operate reliably in multi-step engineering workflows, define verifiers and benchmarks, and work with domain experts to decide which workflows to target next.
Requirements
- Fluent English with excellent communication skills
- Deep, hands-on machine learning expertise, particularly LLM development
- Demonstrated experience running, debugging, and validating real engineering workflows in CAD, CAE, semiconductor simulation, or EDA
- Clean, readable Python code and comfort in Linux/HPC environments
- Self-directed
- Low-ego, collaborative, and eager to learn
Responsibilities
- Design pretraining, SFT, and RL data for engineering tasks across CAD, CAE, and semiconductor/EDA
- Define verifiers and evaluation criteria for correct, high-quality engineering outputs
- Design and improve agent architectures and harnesses for long-horizon engineering workflows
- Build evaluation benchmarks and diagnostic tooling to identify and trace model failures
- Collaborate with domain experts to identify highest-value engineering workflows
- Contribute to broader pre and post-training research and share findings
Benefits
- Healthcare coverage
- Parental leave
- Retirement plans
- Relocation support
- Wellness programs
- Meal and transportation allowances