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Member of Technical Staff - ML Training Systems

Job

Modal Labs

San Francisco, CA (In Person)

$250,000 Salary, Full-Time

Posted 2 weeks ago (Updated 2 weeks ago) • Actively hiring

Expires 6/24/2026

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Job Description

Member of Technical Staff - ML Training Systems Modal Labs Software Engineering, IT, Data Science San Francisco, CA, USA • New York, NY, USA USD 150k-350k / year + Equity Posted on Feb 25, 2026 Apply now Location New York, San Francisco Employment Type Full time Department Engineering Compensation $150K - $350K •
Offers Equity 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. Companies like Suno, Lovable, and Substack rely on Modal to move from prototype to production without the burden of managing infrastructure. We're a fast-growing team based out of NYC, SF, and Stockholm. We've hit 9-figure ARR and recently raised a Series B at a $1.1B valuation. We have thousands of customers who rely on us for production AI workloads, including Lovable, Scale AI, Substack, and Suno. Working at Modal means joining one of the fastest-growing AI infrastructure organizations at an early stage, with many opportunities to grow within the company. Our team includes creators of popular open-source projects (e.g. Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
The Role:
We are looking for strong engineers with experience training production machine learning models. If you are interested in contributing to open-source projects and evolving Modal's infrastructure to train the next generation of language models, we'd love to hear from you!
Requirements:
5+ years of experience writing high-quality, high-performance code. Experience working with torch and high-level training frameworks (Huggingface, verl, slime) Experience with ML training optimization (tell us a story about eliminating data loading bottlenecks, overlapping communications with compute, rewriting a trainer to handle off-policy rollouts, etc.)
Nice-to-have:
familiarity with low-level operating system foundations (Linux kernel, file systems, containers, etc). Ability to work in-person, in our NYC or San Francisco office.
Compensation Range:
$150K - $350K Apply now See more open positions at Modal Labs