Research Engineer, Machine Learning

Mistral AIPalo Alto, CA

About The Position

About the Research Engineering team The team spans Platform (shared infra & clean code) and Embedded (inside research squads). Engineers can move along the research↔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: - Platform RE Team: Enhance the shared training framework, data pipelines and cluster tooling used by every team; or - Embedded RE Team: Sit inside a research squad (Alignment, Pre-training, Multimodal, …) and turn fresh ideas into repeatable, scalable code.

Requirements

  • 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.

Responsibilities

  • 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.

Benefits

  • Competitive salary and equity.
  • Medical/Dental/Vision covered for you and your family.
  • 401K (6% matching)
  • 18 days PTO
  • Reimburse office parking charges, or $120/month for public transport
  • $120/month reimbursement for gym membership
  • $400 monthly allowance for meals
  • Visa sponsorship
  • BetterUp coaching on a voluntary basis
  • 20 weeks of paid leave for all primary parents.
  • Reserved daycare seats or financial assistance for working parents.
  • Financial assistance for moving expenses, visa sponsorship, and settling-in services for you and your family.
  • Monthly stipends, vouchers, or catered in-office meals, depending on your office location.
  • Monthly allowances for public transport, parking, or sustainable mobility
  • Subsidies or memberships for gyms, wellness programs, or fitness activities
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