VLA for Physical AI (Talent pool)
remote
via Ashby
About this role
ABOUT THE TEAM & MISSION
At 42dot, we build multimodal driving models that connect visual perception, scene context, and driving actions to enable robust autonomous driving behavior.
Our goal is to advance planning, decision-making, and action generation in real-world driving environments by leveraging VLA-style modeling approaches that incorporate prior knowledge for improved generalization, with a strong focus on production deployment and on-vehicle execution.
INTERVIEW PROCESS
1. Application Screening
2. Coding Test
3. First Interview (Virtual, approximately 1 hour)
4. Second Interview (In-person or Virtual, approximately 3 hours)
5. Offer Discussion / Onboarding
ADDITIONAL INFORMATION
- Please upload all required documents in PDF format.…
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
We compare your skills against the role requirements.
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 remote-eligible — we factor in your stated location and time-zone overlap.
Score yourself on this role.
Free · no card · written explanation included