Senior/Staff ML Engineer, Performance Optimization

Benefits

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

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Weekend work

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Company

Company stage

Seed From the posting source checked Jun 20, 2026

Application

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Deadline

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About this role

Senior/Staff ML Engineer, Performance Optimization San Francisco, California, United States The Role We're looking for someone who loves optimizing model inference to join us in building the core of ComfyUI - the most complex and bleeding-edge part of our engine. You'll be working on making AI models run faster and more efficiently than anyone thought possible. You are a good fit if this describes you: - You geek out about model inference, torch optimizations, and memory management - You've written production PyTorch code that pushes performance boundaries - You love diving deep into how models actually work under the hood - You get excited about making insanely optimized code that just works - You think the current state of ML deployment could be way better What you'll do: - Build and optimize the core inference engine that powers ComfyUI - Make massive models run faster and use less memory than anyone else - Work directly with our core team on architecting new features - Tackle the hardest technical problems in the visual AI space - Help shape where we take this technology next Bonus: If you've worked with diffusion/LLM models before or built custom nodes for ComfyUI, that's awesome

Read the full description at jobs.ashbyhq.com. FewerJobs shows a preview and links to the original posting.