A
Not Specified Permanent

San Francisco, California · USA job

Applied Scientist II, Perception

Amazon

San Francisco, California

This job is no longer available — it was removed from the JobsMint Pro catalog and cannot be applied to. Location: San Francisco, California · 94101

Job description

Overview

As an Applied Scientist in Robot Perception, you will develop and deploy cutting-edge perception methods that help robots understand and interact with the real world. You'll advance computer vision and vision-language model capabilities to enable safe, intelligent operation in dynamic environments. Your work bridges research and production, contributing to scalable, real-world robotics-shaping how humans and robots collaborate. You will join cross-functional teams tackling dexterous manipulation, locomotion, and human-robot interaction at scale. This role offers a unique chance to influence the future of automation at Amazon.

Compensation / Benefits
  • health insurance (medical, dental, vision)
  • RSUs and sign-on bonuses
  • 401(k) matching
  • paid time off
  • parenteral leave
  • flexible spending accounts
Responsibilities
  • Design, develop, and deploy perception algorithms for robotics systems (detection, segmentation, tracking, depth estimation, scene understanding)
  • Lead research initiatives in computer vision, sensor fusion and 3D perception
  • Collaborate with robotics engineers, software engineers, and product managers to define perception capabilities
  • Drive end-to-end ownership of ML models-from data collection and labeling to training, evaluation, and deployment
  • Mentor junior scientists and engineers, promoting technical excellence
  • Define and track metrics to measure perception performance in real-world environments
  • Publish research findings in top venues and contribute to patents
Key requirements
  • PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics or equivalent quantitative field
  • 2+ years of building machine learning models for business applications
  • Experience with Java, C++, or pother programming languages
  • Experience with neural deep learning methods and machine learning
  • Publications at top-tier conferences or journals
  • collaboration
  • mentorship
  • leadership
  • computer vision
  • sensor fusion
  • 3D perception

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