Founding MTS — Dexterous Manipulation on Real Robots

Stealth AI Startup; Redwood City (CA); Sur place; USD 220 000 - 300 000; Plein temps

Résumé du poste

Stealth AI Startup in Redwood City is seeking a researcher to own how robots learn dexterous manipulation, from data collection to policy software running on hardware.

You will build teleoperation pipelines, retarget human motion to robot hands, train policies, and deploy them on real arms, with O(1) sponsorship and equity options. This role focuses on hands-on hardware and real-world evaluation.

Qualifications

• Experience training manipulation policies on real robots with measurable success.
• Hands-on with high-DoF manipulation, not only parallel grippers.
• Built or deeply used a teleoperation or data collection system.

Responsabilités

• Build teleoperation and data-collection pipelines with dexterous hands.
• Retarget human motion to robot hands and select demonstrations.
• Train and deploy dexterous policies on real hardware.
• Diagnose policy failures on hardware and fix data/models.
• Collaborate with world/model teams to turn video into skills.

Connaissances

Manipulation policy

Teleoperation systems

Data collection

Imitation learning

RL fine-tuning

Description du poste

Stealth AI Startup in Redwood City is seeking a researcher to own how robots learn dexterous manipulation, from data collection to policy software running on hardware.

You will build teleoperation pipelines, retarget human motion to robot hands, train policies, and deploy them on real arms, with O(1) sponsorship and equity options. This role focuses on hands-on hardware and real-world evaluation.