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Member of Technical Staff - ML Performance

Modal· Engineering
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New York, San Francisco$200k - $350kFull-timePosted 11mo ago

About the role

Engineer to optimize ML systems performance at scale, contribute to open-source projects and Modal’s container runtime to improve throughput and reduce latency for language and diffusion models.

Responsibilities

  • Contribute to building and optimizing ML systems for performance at scale.

Qualifications

  • 5+ years of experience writing high-quality, high-performance code.

Skills

Required:ML performance engineeringTorch and ML frameworksNvidia GPU architecture and CUDA
Nice to have:Low-level OS foundations (Nice-to-have)Open-source contribution
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About Modal

High-performance AI infrastructure

Bring your own code, and run CPU, GPU, and data-intensive compute at scale. The serverless platform for AI and data teams.

AI infrastructureBatchGPU scalingInferenceML workloadNotebooksObservabilityPlatform
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