ml engineer for operational research

Mistral provides full-stack AI solutions, from frontier models to developer tools, applications, and compute. It partners with enterprises in high-stakes industries to co-create customized AI systems that they can run on their terms.

• Run pre-training and post-training, and deploy state-of-the-art models on clusters with thousands of GPUs
• Generate and curate datasets for optimisation modelling, and build evaluators and benchmarks for operational research tasks
• Use solvers as verifiers to build reward signals for reinforcement learning
• Develop tools and frameworks for data generation, model training, evaluation, and deployment
• Collaborate with cross-functional teams on complex use cases
• Manage research projects and communications with client research teams

• Fluent in English, with excellent communication skills and the ability to explain complex technical concepts to technical and non-technical audiences
• Expert in PyTorch or JAX
• Experience training or fine-tuning large language models for reasoning, code, or mathematics
• Strong background in operational research or mathematical optimisation, with hands-on experience using solvers such as Gurobi, CPLEX, or OR-Tools and modelling languages such as Pyomo or AMPL
• Able to contribute to a large codebase and work independently with little guidance
• Writes clean, readable, high-performance, fault-tolerant Python code
• Works independently and navigates uncertainty with confidence
• Collaborative, low-ego, and eager to learn
• Track record of success through personal projects, professional projects, or academia
• Будет плюсом: experience as a founder or builder, a PhD or Master’s in a relevant field, reinforcement learning with verifiable rewards, LLM-based optimisation modelling, industry experience in supply chain, logistics, energy, or scheduling, experience with large codebases or machine learning models at scale, contributions to a large open-source or industry codebase, publications in top academic journals or conferences, and interest in improving existing code through typing, tests, and CI pipelines

• Benefits may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks