Research Engineer, Eval Platform — Scalable AI Evaluation

Mistral; Paris; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Healthcare coverage

Relocation support

Meal and transportation allowances

Job summary

Mistral in Paris is seeking a Research Engineer for the Eval Platform to build infrastructure that measures model quality, ensuring reproducibility and speed. You'll work with researchers to define evaluation metrics and deliver robust tooling.

You will run large-scale evaluations on GPU clusters (Slurm, Kubernetes, Ray), develop user-friendly APIs and dashboards, and help ensure accuracy by catching noisy results. A Master's or PhD and 4+ years of production ML software experience are required.

Qualifications

• Master’s or PhD in Computer Science or equivalent experience.
• 4+ years building production-grade software, preferably large ML codebases or distributed systems.
• Excellent Python and strong software-design instincts: testing, code review, CI/CD.
• Experience running workloads on GPU clusters (Slurm, Kubernetes, Ray or similar).
• Familiarity with LLM inference and evaluation.
• A product mindset: researchers are your users.
• Self-starter, low-ego, collaborative.

Responsibilities

• Build systems that keep eval results reproducible and comparable over time, as models, benchmarks and code evolve.
• Run evaluations at scale across our GPU clusters, from model serving to scoring.
• Make eval results easy to access, explore and trust, through APIs and dashboards that researchers use every day.
• Catch broken or noisy evals before they mislead research decisions.
• Support evaluation of agentic, multi-turn and tool-using models.
• Work closely with researchers to turn new evaluation needs into robust, shared tooling.

Skills

Python

CI/CD

Testing

Collaboration

Education

Master’s or PhD in Computer Science

Tools

Slurm

Kubernetes

Ray

vLLM

SGLang

Job description

Mistral in Paris is seeking a Research Engineer for the Eval Platform to build infrastructure that measures model quality, ensuring reproducibility and speed. You'll work with researchers to define evaluation metrics and deliver robust tooling.

You will run large-scale evaluations on GPU clusters (Slurm, Kubernetes, Ray), develop user-friendly APIs and dashboards, and help ensure accuracy by catching noisy results. A Master's or PhD and 4+ years of production ML software experience are required.