Robotics & Physical AI Scientist — Autonomous Lab

Amazon

Seattle (WA)

On-site

USD 143,000 - 193,000

Full time

21 hours ago
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Job summary

Amazon.com Services LLC is seeking a Robotics Scientist to build and operate the first autonomous materials discovery laboratory. You will design workflows that fuse dexterous robotic platforms with AI-driven hypothesis generation in a closed-loop pipeline.

Key responsibilities include developing manipulation policies, sim-to-real transfer, and integrating lab instruments into automated workflows. Emphasis on AI and robotics foundations, with opportunities to publish while shipping real impact.

Qualifications

  • 3+ years building models for business applications.
  • Experience programming in Java, C++, Python or related languages.
  • Published or patented research at top-tier conferences or journals.
  • Experience with algorithms, data structures, optimization, data mining, and HPC.

Responsibilities

  • Develop, train, and benchmark robotic manipulation policies for materials synthesis and characterization.
  • Design sim-to-real transfer strategies with domain randomization and physics tuning.
  • Integrate robots and lab instruments into automated workflows via APIs and data pipelines.
  • Architect policy training pipelines using teleoperation data, synthetic demos, RL and imitation learning.
  • Build production-grade agentic runtimes with failure handling and human hand-off protocols.
  • Lead autonomous experimental campaigns using active learning, Bayesian optimization or RL.

Skills

Java
C++
Python

Education

PhD or MS with 4+ years CS/ML/CE

Tools

Unix/Linux

Job description

Amazon.com Services LLC is seeking a Robotics Scientist to build and operate the first autonomous materials discovery laboratory. You will design workflows that fuse dexterous robotic platforms with AI-driven hypothesis generation in a closed-loop pipeline.

Key responsibilities include developing manipulation policies, sim-to-real transfer, and integrating lab instruments into automated workflows. Emphasis on AI and robotics foundations, with opportunities to publish while shipping real impact.

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