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Forward Deployed Engineer - ML (London)

Modal Labs · London

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At a glance

Highlights

  • Partner with leading AI companies and labs on demanding production workloads.
  • Architect and optimize LLM serving, training, and audio pipelines at scale.
  • Publish technical content demonstrating Modal's capabilities across AI stack.

Ideal candidate

A curious, customer-obsessed engineer who loves deep technical problem-solving and direct customer impact. You thrive partnering with frontier AI teams and clearly communicating tradeoffs to both engineers and leaders.

Requirements

  • 2+ years of professional ML engineering experience, ideally in inference optimization, model training, GPU programming, or ML infrastructure
  • Familiar with serving (e.g., vLLM, SGLang) and training (e.g., slime, verl, TRL) toolchains, with depth in at least one
  • Strong communicator able to discuss technical architecture with engineers and tradeoffs with technical leadership
  • Genuine interest in working directly with customers to understand and solve their problems
  • Willing to work in person in London

Lab profile

About Modal Labs

Serverless cloud infrastructure for AI workloads with instant GPU compute.

What they build

  • Serverless GPU cloud platform
  • Python SDK
  • Cloud sandboxes

Known for

  • Systems engineering at scale
  • ML performance optimization
  • Developer-first experience
More about Modal Labs →
Apply on the lab’s site ↗

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