other
Posted Feb 25Member of Technical Staff - ML Training Systems
at Modal
New York, United StatesOn-site
Requirements
- ABOUT US: AI needs a new infrastructure layer.
- 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.
- They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
- experience training production machine learning models.
- 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.
Experience
- REQUIREMENTS: - 5+ years of
Benefits
- We've crossed $300M+ ARR and grown fivefold since September.
Contact
- Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno.
- We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures.
- Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
Additional details
- 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.
- THE ROLE: We are looking for strong engineers with
- 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!