Forward Deployed Engineer - ML

modal· 25 open roles

Location TBD On-siteFullTime3 months ago

Salaryest.

$150,000 - $250,000

Experience

Mid

Job Type

FullTime

Posted

3 months ago

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About This RoleAI processing…

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and n

Key ResponsibilitiesTypical for this role

1
Drive day-to-day execution of the work outlined in this role
2
Collaborate with cross-functional partners to deliver outcomes
3
Communicate progress, blockers, and decisions clearly
4
Continuously improve how the team operates

Requirements

2+ years of professional ML engineering experience, ideally with hands-on work in inference optimization, model training, GPU programming, or ML infrastructure
Familiarity with the serving (e.g., vLLM, SGLang) and training (e.g., slime, verl, TRL) toolchains. You don't need all of these, but you should be able to go deep on at least one.
Strong communicator who can go deep on technical architecture with an engineering team and clearly articulate tradeoffs to technical leadership
Genuine interest in working directly with customers — you find it energizing to understand someone else's problem and help them solve it
Bonus: side projects, open-source contributions, or published work you're proud of in ML or systems performance
Willing to work in-person in New York City, San Francisco, or Stockholm