Senior/Staff ML Engineer, Model Integration
Comfy Deploy - San Francisco, California, United States
Posted May 25, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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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
Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior/Staff ML Engineer, Model Integration San Francisco, California, United States The Role We're looking for someone who lives on the frontier of generative AI to join us in building the core of ComfyUI. You'll be the person who takes the newest open-source models (image, video, 3D, audio, multimodal…) and brings them into ComfyUI as first-class citizens, often within days of their release. You are a good fit if this describes you: - You read new model papers as they drop and have opinions about them - You love diving deep into how models actually work under the hood - You've ported models from research into production and gotten the outputs to match - You know ComfyUI well, its architecture, workflows and have opinions about nodes design - You think the gap between research and production should be as short as possible What you'll do: - Implement state-of-the-art open-source models to run natively in the ComfyUI core engine - Design and build the native nodes that expose new model capabilities cleanly to users - Work directly with our core team on architecting new features - Partner with the custom node community and help core absorb capabilities as they mature - 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
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