Member of Technical Staff - ML Training Systems
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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
- 1Drive day-to-day execution of the work outlined in this role
- 2Collaborate with cross-functional partners to deliver outcomes
- 3Communicate progress, blockers, and decisions clearly
- 4Continuously improve how the team operates
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.
- Ability to participate in on-call rotation and respond to production incidents.
Perks & BenefitsTypical for this role
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