Evaluation Engineer, Applied AI

Mistral.ai; Paris; On-site; EUR 60,000 - 90,000; Full time

Job summary

Mistral.ai is seeking an Evaluation Engineer to shape how enterprise customers measure and trust AI solutions. You will design evaluation frameworks, build scalable pipelines, and collaborate with clients and internal teams to drive production-grade AI models.

The role sits at the intersection of research, engineering, and solutions, contributing to model improvements across varied domains. The ideal candidate has 3+ years of experience evaluating ML/LLM systems, strong Python skills, and

Qualifications

• 3+ years of experience evaluating ML/LLM/agentic systems.
• Experience building AI/ML products with APIs or back-end systems.
• Strong Python coding skills.
• Deep understanding of ML concepts and algorithms for LLMs.
• Ability to communicate technical topics to technical and non-technical audiences.
• Familiarity with evaluation frameworks like LM Eval Harness or OpenAI Evals or related open-source projects.
• Experience with ML libraries such as PyTorch and HuggingFace Transformers.
• Collaborative, direct communicator who values outcomes and low-ego teamwork.

Responsibilities

• Design and implement frameworks to evaluate LLM performance across customer use cases.
• Build and maintain scalable evaluation infrastructure and pipelines.
• Develop new evaluation methods for sector-specific model capabilities.
• Collaborate with customers to create custom evaluation suites.
• Partner with research teams to translate evaluation insights into 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.

Skills

ML/LLM evaluation

APIs/Back-end

Python

ML concepts

Communication

Evaluation frameworks

PyTorch / Transformers

Teamwork

Tools

PyTorch

HuggingFace Transformers

Job description

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.

For the most up-to-date details on benefits available in your location, please refer to our Benefits page.

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