Senior/Staff ML Engineer, Performance Optimization
staff
via Ashby
About this role
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…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: less, pytorch
2
Level fit
This role is staff-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in a specific location. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
lesspytorch