Senior Robotics Perception Scientist

Amazon Inc.

San Francisco (CA)

On-site

USD 192,000 - 260,000

Full time

25 hours ago
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Benefits offered by this job

RSUs
Health insurance
401(k) matching
Paid time off

Job summary

Amazon Industrial Robotics is seeking a Sr. Applied Scientist in Robot Perception to push the boundaries of perception in real-world robotic systems.

You will design, implement, and deploy state-of-the-art perception algorithms, bridging computer vision, 3D sensing, and language-model concepts to enable safe human-robot collaboration. You will lead cross-functional teams, mentor engineers, and contribute to research publications and patents while scaling perception solutions across Amazon’s

Qualifications

  • PhD required in CS/EE/Robotics with strong research background.
  • Experience delivering ML/perception systems to production.
  • Strong publications or applied research track record.
  • Proficient in Python and/or C++.

Responsibilities

  • Design, develop, and deploy perception algorithms for robotics systems.
  • Lead research in computer vision, sensor fusion, and 3D perception.
  • Collaborate with engineers and product managers to deliver capabilities.
  • Oversee end-to-end ML model lifecycle from data to deployment.
  • Mentor junior scientists and contribute to a culture of excellence.
  • Publish findings and contribute to patents.

Skills

Java
C++
Python
Deep learning
Machine learning
Research

Education

PhD in Computer Science/Electrical Engineering/Robotics

Tools

ROS/ROS2
PCL/Open3D
PyTorch/TensorFlow

Job description

Amazon Industrial Robotics is seeking a Sr. Applied Scientist in Robot Perception to push the boundaries of perception in real-world robotic systems.

You will design, implement, and deploy state-of-the-art perception algorithms, bridging computer vision, 3D sensing, and language-model concepts to enable safe human-robot collaboration. You will lead cross-functional teams, mentor engineers, and contribute to research publications and patents while scaling perception solutions across Amazon’s

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