Forward Deployed Engineer - ML
About Us: Modal provides the infrastructure foundation for AI teams. With instant GPU access, sub-second container startups, and native storage, Modal makes it simple to train models, run batch jobs, and serve low-latency inference.
What this role actually needs.
About Us: Modal provides the infrastructure foundation for AI teams. With instant GPU access, sub-second container startups, and native storage, Modal makes it simple to train models, run batch jobs, and serve low-latency inference. 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 Company context: Modal is the serverless compute platform built specifically for AI and Python workloads.
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- 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
Why this listing is more than a copied job post.
Forward Deployed Engineer - ML is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
United States tech market
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Compensation read
$180K - $250K is visible before the click, so candidates can compare the role against local market expectations before applying.
Work authorization read
Current extracted signal: Open to TN, H-1B, and OPT candidates already in the United States. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.
Location read
On-site roles in New York City should be compared against commute, local salary bands, and nearby employer demand.
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Next moves
- Tailor your resume around ai and llm instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to forward deployed engineer - ml is a high-signal on-site role in new york city, and it is most realistic for open to tn, h-1b, and opt candidates already in the united states.
- Open the role quickly if it fits and bookmark three similar jobs before you leave the page.
Interview themes
Watchouts
- $180K - $250K is visible, so calibrate your application around the posted range.
- Use open to tn, h-1b, and opt candidates already in the united states as part of your positioning so the recruiter does not have to infer it.
- Show concrete examples of succeeding in on-site environments.
Keywords to match against your background
Use these terms to decide whether your resume, portfolio, and recent projects line up with the role.
Apply through the employer source
Open the source listing from jobs.ashbyhq.com, confirm the role is still active, then apply on the employer or ATS page.
Source: jobs.ashbyhq.com · Source ID: 9fadb51f-ce11-41b1-84d5-470e66cc8ee9 · Confidence: 92/100 · Last checked: May 7, 2026
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