Senior Robotics RL Scientist: Manipulation & Real-World Deployment

Amazon Inc.; Austin (TX); Hybrid; USD 167.000 - 226.000; Vollzeit

Zusammenfassung

Amazon Robotics – Vulcan Stow is seeking a Senior Applied Scientist to lead reinforcement learning for manipulation, defining technical direction from simulation to real-world hardware. You will mentor a growing team while advancing non-prehensile and contact-rich manipulation.

The role spans research, engineering, and collaboration across control, perception, and hardware to deploy robust policies at scale.

Qualifikationen

• PhD or equivalent research experience.
• 7+ years of applied research experience.
• 3+ years of building machine learning models for business applications.
• Experience programming in Java, C++, Python or related language.
• Track record of training reinforcement learning or imitation learning policies in simulation and transferring to physical systems.
• 3+ years of building and deploying learning-based control on robotic systems.
• Experience leading technical projects and mentoring scientists or engineers.

Aufgaben

• Set the technical direction for learning non-prehensile and contact-rich manipulation policies, from testing the latest advances to hardware demonstrations.
• Oversee reinforcement learning approaches addressing diverse manipulation conditions.
• Own the path from simulation training to real-time execution on physical robots.
• Demonstrate new manipulation capabilities on real robots at scale and turn results into repeatable methods.
• Establish standards, evaluation practices, and data-informed improvement loops.
• Mentor scientists and engineers to raise applied science rigor and engineering quality.
• Partner across control, perception, and hardware to integrate learned behaviors into systems.
• Represent Amazon in academia through publications and presentations.

Kenntnisse

Leadership

Mentoring

Scientific rigor

Ausbildung

PhD or equivalent research experience

Tools

Java

C++

Python

Jobbeschreibung

Amazon Robotics – Vulcan Stow is seeking a Senior Applied Scientist to lead reinforcement learning for manipulation, defining technical direction from simulation to real-world hardware. You will mentor a growing team while advancing non-prehensile and contact-rich manipulation.

The role spans research, engineering, and collaboration across control, perception, and hardware to deploy robust policies at scale.