Jobs / Ama***

Senior Applied Scientist

Ama*** · San Francisco, CA, United States
Visa sponsorship details are locked. Unlock company name and apply link with .
San Francisco, CA, United States192,200-260,000 USD/yearlyRemote
Remuneration
192,200-260,000 USD/yearly
Location
San Francisco, CA, United States
Visa sponsorship
Sponsors visa

Job summary

DESCRIPTION Amazon Industrial Robotics is on a mission to redefine the future of automation — and we're looking for exceptional talent to help lead the way.

Benefits

Learn more about ourAt https://amazon.jobs/en/USA, CA, SAN FRANCISCO - 192,200.00 - 260,000.00 USD annually

Qualifications

  • Experience programming in Java, C++, Python or related language
  • PhD in Computer Science, Electrical Engineering, Robotics, or a related
  • field
  • 4+ years of hands-on experience in computer vision, 3D perception, or
  • sensor fusion
  • Strong proficiency in Python and/or C++
  • Experience with deep learning frameworks (PyTorch, TensorFlow, or
  • equivalent)
  • Job Description https://loop.cloud.microsoft/print/eyJwIjp7InUiOiJodHRwczovL2FtY...
  • 3 of 9 4/30/26, 5:07 PM
  • Proven track record of delivering ML/perception systems to production
  • Strong publication record or equivalent applied research experience

Responsibilities

  • Applied Scientist in Robot Perception, you will be at the forefront of
  • You will develop and deploy state-of-the-art perception
  • Models (VLMs), you will innovate boldly and push the boundaries of what's
  • You will collaborate with world-class teams
  • Design, develop, and deploy perception algorithms for robotics systems,
  • including object detection, segmentation, tracking, depth estimation, and
  • scene understanding
  • Lead research initiatives in computer vision, sensor fusion and 3D
  • perception
  • Collaborate with cross-functional teams including robotics engineers,
  • software engineers, and product managers to define and deliver
  • perception capabilities

Skills

Customer Service

Degrees

AssociatePhD

Industry

AutomotiveEnergyInsuranceLogisticsManufacturingPublic-sector