PRF·0041
Member of Technical Staff - ML Performance
Summary
Modal is hiring a Member of Technical Staff - ML Performance in New York. The role focuses on operating systems & kernel, compilers & runtimes, databases & storage, virtualization & containers, graphics, gpu & compute, low-latency & performance.
Responsibilities as stated
- 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.
- We are looking for strong engineers with experience in making ML systems performant at scale.
- Nice-to-have: familiarity with low-level operating system foundations (Linux kernel, file systems, containers, etc).
Location, employment, and compensation
- Location. New York, San Francisco
- Employment. unknown
- Compensation. Not stated on the source. NearMetal does not estimate compensation.
- How to apply. On the company’s own posting. NearMetal does not accept applications.
Why this is filed as systems software
- 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.
- We are looking for strong engineers with experience in making ML systems performant at scale.
- Nice-to-have: familiarity with low-level operating system foundations (Linux kernel, file systems, containers, etc).
Source and corrections
This summary was written from the company’s own posting. NearMetal does not reproduce the full description and does not accept applications.