Autonomous Lab Robotics Scientist

Amazon

Seattle (WA)

On-site

USD 167,100 - 226,100

Full time

14 days+

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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave

Job summary

Amazon in Seattle is seeking an Applied Scientist III focused on Robotics & Physical AI to build the first autonomous materials discovery laboratory. The role integrates robotics and modern AI to enhance Amazon's sustainability initiatives, driving innovation and environmental impact.

The ideal candidate holds a Master's or PhD and has experience with robotics, AI, and programming. Candidates will engage in sim-to-real challenges and contribute significantly to sustainable practices in a collaborative, multi-disciplinary environment.

Qualifications

  • 3+ years industry or academic research experience.
  • First-hand sim‑to‑real transfer experience and publications in top-tier venues are preferred.

Responsibilities

  • Develop and benchmark robotic manipulation policies.
  • Design and execute sim-to-real transfer strategies.
  • Integrate robotic platforms into automated workflows.
  • Architect policy training pipelines for lab manipulation.
  • Design and execute autonomous experimental campaigns.
  • Drive technical design reviews for the autonomous lab platform.

Skills

Programming languages (C/C++, Python, Java or Perl)
Experience with deep learning frameworks (MxNet, TensorFlow)
Robotics expertise (motion planning, control)
Analytical thinking

Education

Master's degree or PhD

Job description

Amazon in Seattle is seeking an Applied Scientist III focused on Robotics & Physical AI to build the first autonomous materials discovery laboratory. The role integrates robotics and modern AI to enhance Amazon's sustainability initiatives, driving innovation and environmental impact.

The ideal candidate holds a Master's or PhD and has experience with robotics, AI, and programming. Candidates will engage in sim-to-real challenges and contribute significantly to sustainable practices in a collaborative, multi-disciplinary environment.

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