Senior Robotics Scientist: Tactile Manipulation & RL

Amazon Inc.

Seattle (WA)

Hybride

USD 192 000 - 260 000

Plein temps

Il y a 29 heures
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Résumé du poste

Amazon is seeking a Senior Applied Scientist to develop tactile- and force-driven manipulation policies for dexterous, multi-fingered robotic hands, and to research policy learning algorithms enabling grasping in unstructured real-world environments.

You will work across tactile sensing, sim-to-real transfer, and multi-modal sensing, collaborating with hardware and controls teams to deploy robust robotic capabilities. This role blends research excellence with practical engineering and mentoring.

Qualifications

  • PhD or master's degree with 6+ years of applied research experience.
  • Experience programming in Java, C++, Python.
  • Experience deploying learned policies on physical robotic hardware.
  • Experience in tactile sensing, manipulation policy learning, or multi-modal perception for robotics.

Responsabilités

  • Design and train manipulation policies using tactile and force feedback.
  • Drive sim-to-real transfer for real hardware.
  • Collaborate with hardware and controls teams to deploy policies.
  • Publish at top venues and mentor engineers.
  • Own projects within tactile sensing and manipulation workstreams.
  • Build evaluation frameworks with benchmarks and metrics.

Connaissances

Java
C++
Python
Reinforcement learning
Robotics

Formation

PhD
Master's degree

Outils

MuJoCo
URDF
Isaac
Robot simulation stacks

Description du poste

Amazon is seeking a Senior Applied Scientist to develop tactile- and force-driven manipulation policies for dexterous, multi-fingered robotic hands, and to research policy learning algorithms enabling grasping in unstructured real-world environments.

You will work across tactile sensing, sim-to-real transfer, and multi-modal sensing, collaborating with hardware and controls teams to deploy robust robotic capabilities. This role blends research excellence with practical engineering and mentoring.

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