Research Engineer, Machine Learning

Mistral; Warszawa; On-site; PLN 230,000 - 380,000; Full time

Benefits offered by this job

Healthcare coverage

Parental leave

Retirement plans

Relocation support

Wellness programs

Meal allowances

Transportation allowances

Job summary

Mistral is recruiting a Research Engineer – ML track to build and optimize large-scale learning systems powering open-weight models. You will collaborate with Research Scientists and move between research and production within a distributed team across Europe, North America, Asia, and the Middle East.

In this role you’ll implement and benchmark ML algorithms, design robust tools, and deliver prototypes that scale to production.

Qualifications

• Master’s or PhD in Computer Science (or equivalent proven track record).
• 4+ years working on large-scale ML codebases.
• Experience with PyTorch, JAX or TensorFlow and distributed training (DeepSpeed / FSDP / SLURM / K8s).
• Experience in deep learning, NLP or LLMs; CUDA or data-pipeline chops is a bonus.

Responsibilities

• Accelerate researchers by handling heavy parts of large-scale ML pipelines and building robust tools.
• Interface research with production: integrate checkpoints, streamline evaluation, and expose APIs.
• Conduct experiments on latest deep-learning techniques and benchmarks.
• Design, implement and benchmark ML algorithms; write clean Python code.
• Deliver prototypes that become production-grade components for Le Chat and our enterprise API.

Skills

PyTorch

JAX

TensorFlow

DeepSpeed / FSDP

SLURM / Kubernetes

NLP / LLMs

Education

Master’s or PhD in Computer Science

Tools

CUDA

CI/CD

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.

About the Research Engineering Team

The team spans Platform (shared infra & clean code) and Embedded (inside research squads). Engineers can move along the research-to-production spectrum as needs or interests evolve.

As a Research Engineer – ML track, you’ll build and optimise the large-scale learning systems that power our open-weight models. Working hand-in-hand with Research Scientists, you’ll either join:

What You Will Do

• Accelerate researchers by taking on the heavy parts of large-scale ML pipelines and building robust tools.
• Interface cutting-edge research with production: integrate checkpoints, streamline evaluation, and expose APIs.
• Conduct experiments on the latest deep-learning techniques (sparsified 70 B + runs, distributed training on thousands of GPUs).
• Design, implement and benchmark ML algorithms; write clear, efficient code in Python.
• Deliver prototypes that become production-grade components for Le Chat and our enterprise API.

What We're Looking For

• Master’s or PhD in Computer Science (or equivalent proven track record).
• 4+ years working on large-scale ML codebases.
• Hands-on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed / FSDP / SLURM / K8s).
• Experience in deep learning, NLP or LLMs; bonus for CUDA or data-pipeline chops.
• Strong software-design instincts: testing, code review, CI/CD.
• Self-starter, low-ego, collaborative.

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.