AI Scientist: Building Next-Gen Engineering LLMs

Mistral; Linz; On-site; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Benefits package varies by country

Job summary

Mistral is seeking AI Scientists with deep ML expertise to expand agentic tools across the engineering lifecycle, including CAE and EDA/Semi. You will build pre/post-training data for Mistral's LLMs to reason about and perform real engineering tasks, and shape agent architectures for reliable multi-step workflows.

You will collaborate with domain experts and the science team to ground this work in actual engineering practice, joining at the foundation to define good benchmarks and data pipelines

Qualifications

• Fluent English with excellent communication skills, able to explain technical ML concepts to diverse audiences.
• Deep hands-on machine learning expertise, with a focus on LLM development.
• Experience running and validating engineering workflows in CAD, CAE, semiconductor simulation, or EDA.

Responsibilities

• Design pretraining, SFT, and RL data for engineering tasks across CAD, CAE, and semiconductor/EDA.
• Define verifiers and evaluation criteria for engineering tasks beyond surface-level plausibility.
• Design and improve agent architectures and harnesses for multi-step engineering workflows.

Skills

Fluent English

Deep ML expertise

LLM development

Strong communication

Tools

Python

Linux/HPC environments

Job description

Mistral is seeking AI Scientists with deep ML expertise to expand agentic tools across the engineering lifecycle, including CAE and EDA/Semi. You will build pre/post-training data for Mistral's LLMs to reason about and perform real engineering tasks, and shape agent architectures for reliable multi-step workflows.

You will collaborate with domain experts and the science team to ground this work in actual engineering practice, joining at the foundation to define good benchmarks and data pipelines