Member of Technical Staff — Training
Palo Altoonsite
via Greenhouse
About this role
About the Role
RadixArk is seeking a Member of Technical Staff — Training to build and scale the systems that train frontier AI models.
You will work on large-scale distributed training infrastructure for LLMs and generative models, pushing the limits of scale, efficiency, accuracy and reliability across 10k, or 100k+ of GPUs. This role sits at the intersection of ML, systems, and performance engineering.
Your work will directly impact how next-generation AI models are trained and scaled.
This is a deeply technical, high-impact role for engineers who enjoy solving hard systems problems at extreme scale.
Requirements
3+ years of experience in ML systems, or large-scale training infrastructure
Experience building or operating large-scale agentic post-training systems.…
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: aws, github
2
Level fit
We check your title trajectory against the seniority signal of the role.
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 Palo Alto. 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.
awsgithub