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Forward Deployed Engineer - ML

Modal Labs · New York · San Francisco

CHECKED 15H AGO

Infrastructureonsite$180k–$250k
Apply on the lab’s site ↗

At a glance

Highlights

  • Partner with leading AI companies to architect and optimize production workloads.
  • Build trusted relationships with CTOs and ML leads doing frontier AI work.
  • Run demos and proof-of-concepts that make performance advantages tangible.

What they offer

  • Equity

Ideal candidate

A curious, customer-obsessed engineer who loves going deep on hard AI problems and thrives translating complex ideas into impact for frontier teams.

Requirements

  • 2+ years of professional ML engineering experience
  • Hands-on experience with inference optimization, model training, GPU programming, or ML infrastructure
  • Familiarity with serving (vLLM, SGLang) or training (slime, verl, TRL) toolchains, with depth in at least one
  • Strong communicator able to go deep with engineering teams and articulate tradeoffs to technical leadership
  • Genuine interest in working directly with customers to solve hard problems
  • Willing to work in-person in New York City, San Francisco, or Stockholm

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 ↗