Posting record
Open 6+ days
- One Robot's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking One Robot, so its true age is longer.
Last checked Nov 3, 2026.
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Upload your resumeWhat the posting discloses
- Pay
- $150k to $275k a year USD
Not stated: Real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Skills mentioned
About the role
We build world models that simulate manipulation scenes faithfully enough to validate, and one day, train policies without touching a robot. You'll develop generative models that make this work, with the controllability and physical fidelity to match real-robot behavior.
What you'll do
- Train video and dynamics models: Develop world models with action conditioning for manipulation policies.
- Push long-horizon coherence: Develop architectures and training methods that extend rollout quality on hard physical tasks.
- Own training infrastructure: Run multi-GPU clusters, write custom CUDA, debug at scale.
- Build the world-model data engine: Design, implement, and improve a data engine that allows the world model to compound learning across customers and manipulation tasks.
Requirements
- Very strong coding in Python and PyTorch (or similar).
- Video generation experience: Deep experience training image or video generation models end-to-end.
- Large-scale training: Track record operating training runs at cluster scale.
- 3D vision: Working knowledge of multi-view geometry, scene reconstruction, and physical priors.
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