← All roles

Forward Deployed Engineer - ML

Modal· Engineering
Apply on company site
New York, San Francisco$180k - $250kFull-timePosted 8mo ago

About the role

Forward Deployed ML Engineer role at Modal, combining deep technical work with direct customer impact to optimize production AI workloads and advance AI infrastructure.

Responsibilities

  • Work hands-on with companies to architect and optimize production AI workloads on Modal
  • Contribute to open-source projects (e.g., SGLang) and publish technical content showcasing Modal's capabilities
  • Collaborate with product and sales teams, contributing as both engineer and product stakeholder
  • Build trusted relationships with technical leaders at frontier AI companies
  • Conduct technical demos, experiments, and proofs-of-concept to demonstrate Modal's performance advantages

Qualifications

  • 2+ years of professional ML engineering experience, with hands-on work in inference optimization, model training, GPU programming, or ML infrastructure
  • Familiarity with serving (e.g., vLLM, SGLang) and training (e.g., slime, verl, TRL) toolchains; deep expertise in at least one area preferred
  • Strong communication skills to discuss technical architecture and tradeoffs with engineering teams and leadership
  • Genuine interest in working directly with customers and solving their problems
  • Bonus: side projects, open-source contributions, or published ML or systems performance work

Skills

Required:ML engineering
Nice to have:Serving and training toolchains
Last updated Oct 21, 2026. Interested? Apply on the company site.
Modal logo

About Modal

High-performance AI infrastructure

Bring your own code, and run CPU, GPU, and data-intensive compute at scale. The serverless platform for AI and data teams.

AI infrastructureBatchGPU scalingInferenceML workloadNotebooksObservabilityPlatform
Company profileWebsite

More open roles at Modal