Forward Deployed Engineer - ML

Responsibilities

• ▹Work hands-on with companies like Suno, Lovable, Cognition, and Meta to architect and optimize production AI workloads on Modal
• ▹Contribute to open-source projects (e.g. SGLang) and publish technical content
• ▹Collaborate with Modal's product and sales teams
• ▹Build trusted relationships with technical leaders (CTOs, VPs of Engineering, ML leads)
• ▹Conduct technical demos, experiments, and proof-of-concepts

Requirements

• ▹2+ years of professional ML engineering experience, ideally 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 in at least one
• ▹Strong communicator, able to go deep with engineering teams and articulate tradeoffs to leadership
• ▹Genuine interest in working directly with customers
• ▹Willing to work in-person in New York City, San Francisco, or Stockholm

Nice to have

• ▹Side projects, open-source contributions, or published work in ML or systems performance

Soft skills

About the company

Modal is building the new infrastructure layer for AI, giving customers like Lovable, Ramp, Cognition, DoorDash, and Suno instant GPU access, sub-second container starts, and native storage. The company recently raised a $355M Series C at a $4.65B valuation and has crossed $300M+ ARR.