Enable job alerts via email!

Research Engineer, Machine Learning

Mistral AI

London

Hybrid

GBP 200,000 +

Full time

Today
Be an early applicant

Job summary

A leading AI technology firm is seeking a Research Engineer to build and optimize large-scale ML systems. The ideal candidate will have a Master's or PhD in Computer Science and over 4 years of experience with ML codebases, particularly with frameworks like PyTorch and TensorFlow. This hybrid position allows for collaboration with research squads and offers competitive benefits, including a pension plan and meal vouchers in the UK.

Benefits

Competitive cash salary and equity
Monthly contribution for gym membership
Meal voucher of £200 monthly

Qualifications

  • 4+ years working on large-scale ML codebases.
  • Experience with distributed training.
  • Strong software-design instincts including testing and CI/CD.

Responsibilities

  • Build and optimize large-scale ML pipelines.
  • Integrate cutting-edge research with production.
  • Design and benchmark ML algorithms.

Skills

Hands-on with PyTorch
Experience in deep learning
Self-starter
Collaborative

Education

Master’s or PhD in Computer Science

Tools

Python
TensorFlow
JAX
Job description

About Mistral

At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We democratize AI through high-performance, optimised, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet the needs of enterprises, whether on-premises or in cloud environments. Our offerings include Le Chat, the AI assistant for life and work.

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 France, the USA, the UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture onhttps://mistral.ai/careers.

Role Summary
About the Research Engineering team

The team spans Platform (shared infra & clean code) and Embedded (inside research squads). Engineers can move along the researchproduction 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.

Location: Paris / London (hybrid) or remote from EU/UK

What will you 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.
About you
  • 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.
Benefits

France

  • Competitive cash salary and equity
  • Food: Daily lunch vouchers
  • Sport: Monthly contribution to a Gympass subscription
  • Transportation: Monthly contribution to a mobility pass
  • Health: Full health insurance for you and your family
  • Parental: Generous parental leave policy
  • Visa sponsorship

UK

  • Competitive cash salary and equity
  • Insurance
  • Transportation: Reimburse office parking charges, or £90 per month for public transport
  • Sport: £90 per month reimbursement for gym membership
  • Meal voucher: £200 monthly allowance for meals
  • Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)
Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.