Mistral AI
The Research Engineer on the Eval Platform team builds and maintains the infrastructure used by science teams to measure model quality, ensuring evaluations are reliable, reproducible, and fast. This role involves running large-scale evaluations across GPU clusters, developing APIs and dashboards for researchers, and supporting the evaluation of advanced model capabilities. The position requires a strong background in production-grade software development and a deep understanding of LLM inference and evaluation processes.
Mistral AI builds frontier large language models and an enterprise AI platform that lets companies customize, fine‑tune, and deploy AI assistants, autonomous agents, and multimodal models. Their offering centers on open models, developer APIs, and professional services designed for secure, scalable integration into products and workflows. Mistral combines research-grade model development with tooling for building tailored assistants and autonomous agents for business use cases. They also publish research and consumer-facing apps that showcase their models in action.
Mistral AI Landed Military Contracts While U.S. Rivals Face Public Backlash
2 days ago
Is Europe’s AI Darling Mistral Becoming a Consultant?
1 week ago
Accenture and Mistral AI Accelerate Enterprise Reinvention with Scalable AI that Delivers Strategic Autonomy for Customers
2 weeks ago
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Mistral AI.
Mistral AI didn’t post a salary, so this is our estimate from similar listings.
10% below the average for this role
France's AI company Mistral buys cloud service startup Koyeb
3 weeks ago
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