Machine Learning Engineer (Egocentric 3D Human Pose)
mid
via Ashby
About this role
JOB DESCRIPTION:
We are looking for a Machine Learning Engineer to join our core research and development team, focused on recovering accurate 3D human body and hand motion from egocentric (first-person) video.
Human demonstration data is the fuel for robot learning, and the quality of that data is bounded by how well we can reconstruct what the hands and body actually did. In this role, you will own models and pipelines that turn head-mounted and body-mounted camera streams — often wide-FOV, stereo, motion-blurred, and heavily self-occluded — into metrically accurate, temporally stable 3D pose that is directly usable for robot policy training and human-to-robot retargeting.…
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, pytorch, tensorflow, transformers, modal…
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.
pythonpytorchtensorflowtransformersmodalteams