Open source revolutionised how we write software, but its impact on robotics stays limited by expensive hardware accessible only to well‑funded labs. We run that hardware as shared infrastructure for the broader community, billed only for active compute. For a given task, policies are evaluated under similar conditions, giving researchers common ground for fair comparisons.
In this role you will
Run post‑training and reinforcement‑learning loops for on‑robot policy improvement.
Design reward models from vision, language, and operator feedback.
Implement on‑robot safety constraints to halt or recover a trial before hardware damage.
Post‑train a reference policy and account for its measured change in success rate.
Reconcile imagined or simulated rollouts with hardware outcomes on poor transfer.
What we hope you’ll bring
Trained reinforcement‑learning systems in robotics, simulation, games, or agents.
Publications in top machine learning or robotics venues, or equivalent experience.
Fluency in Python and PyTorch, and the ability to debug a learning system end‑to‑end.
Experience with JAX or Rust.
Experience with GPU‑accelerated simulation tools (Isaac Lab, Newton, mjlab, Genesis).
Details
Location: Zurich, on‑site 5 days a week.
Every full‑time hire receives stock options as part of the stated salary.
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In this role you will
Run post‑training and reinforcement‑learning loops for on‑robot policy improvement.
Design reward models from vision, language, and operator feedback.
Implement on‑robot safety constraints to halt or recover a trial before hardware damage.
Post‑train a reference policy and account for its measured change in success rate.
Reconcile imagined or simulated rollouts with hardware outcomes on poor transfer.
What we hope you’ll bring
Trained reinforcement‑learning systems in robotics, simulation, games, or agents.
Publications in top machine learning or robotics venues, or equivalent experience.
Fluency in Python and PyTorch, and the ability to debug a learning system end‑to‑end.
Experience with JAX or Rust.
Experience with GPU‑accelerated simulation tools (Isaac Lab, Newton, mjlab, Genesis).
Details
Location: Zurich, on‑site 5 days a week.
Every full‑time hire receives stock options as part of the stated salary.
#J-18808-Ljbffr
