Software Engineer: ML Optimization
mid$200K – $350K
via Ashby
About this role
ABOUT THE ROLE
We internally call this team MBMB (More Big More Better). You will own optimizations on both the training and on-robot inference stacks. We are still in a regime of step-function, not incremental, gains.
You’ll be responsible for:
- Making GPUs go brrrrr
- Implementing ML, hardware, and software changes that lead to step-function gains
- Optimizing both the inference and training stacks
You might thrive in this role if you:
- Are proficient and stay current with the latest ML techniques for training and inference optimizations in transformer and diffusion based architectures…
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: python, go, numpy, openai, gemini…
2
Level fit
This role is mid-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.
pythongonumpyopenaigeminigpt-4