Evaluation Engineer, Applied AI
- Level
- Mid
Not stated in the posting: salary, work type, visa.
Open. First seen 19 October 2026.
About the role
Mistral's standard text
About Mistral
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
As an Evaluation Engineer on the Applied AI team, you will shape how enterprise customers measure and trust AI solutions. You will work closely with clients and internal stakeholders to deliver evaluation systems that define when an AI model is ready for real business impact. The team's mission is to ensure every project—no matter how ambitious—moves from idea to production with clarity and accountability. Your work will sit at the intersection of research, engineering, and solutions, directly influencing how models are improved and deployed across varied domains.
What You Will Do
- Design and implement comprehensive frameworks to evaluate large language model (LLM) performance across customer use cases
- Build and maintain scalable evaluation infrastructure and pipelines for rapid, reproducible assessment
- Develop new evaluation methods for sector-specific or emerging model capabilities
- Collaborate with customers to create custom evaluation suites that fit their unique needs and criteria
- Partner with research teams to turn evaluation insights into actionable model improvements
- Work with product teams to refine evaluation tooling based on user feedback
- Define and communicate clear success metrics for "production-ready" AI models
What We're Looking For
- At least 3 years of experience evaluating ML, LLM, or agentic systems
- Proven background in implementing AI or machine learning products, especially with APIs or back-end systems
- Strong Python coding skills
- Deep understanding of machine learning concepts and algorithms, especially as they pertain to LLMs
- Experience communicating technical topics clearly to both technical and non-technical audiences
- Familiarity with evaluation frameworks like LM Eval Harness or OpenAI Evals, or contributions to related open-source projects
- Experience working with ML libraries (e.g., PyTorch, HuggingFace Transformers)
- Collaborative, direct communicator who values outcomes and low-ego teamwork
What We Offer
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
Mistral's standard text
For the most up-to-date details on benefits available in your location, please refer to our Benefits page.
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What this role asks for
Particular to this role
Hugging Face
Rare in Mistral's other 138 open postings.
In most of Mistral's ads
Python
Named in most of its open postings, whatever the role.
70% of this description is written for the role. The rest is Mistral's standard text, folded away below.
Compared with Mistral's other open jobs.
The team: Applied Science
This role is one of 3 open in Applied Science. 2 were posted in the last 30 days.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Python (3 of 3), PyTorch (3 of 3), LLM (2 of 3), Machine Learning (2 of 3)
OTHER ROLES ON THIS TEAM
- Applied Science - Research Engineer (Robotics) posted Sep 25
- Research Engineer, Forge posted Sep 4
From the team and dates on Mistral's own job board.
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