Jobs · Research · Washington

Robotics - Applied Scientist II Intern / Co-op - 2026 (Robotics, Manipulation, Perception, Motion Planning, Autonomous Mobile Robots, Computer Vision, Machine Learning, Controls, and more)

Amazon · Seattle, WA · 1 wk ago
ResearchFull-time

About the role

Are you passionate about robotics and research? Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable research and projects in a collaborative team environment? Do you want to see your science solutions directly impact millions of customers worldwide? At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world's most beloved brands. We’re looking for current PhD students with a passion for robotic research and applications to join us as Robotics Applied Scientist II Intern/Co-ops in 2026 to shape the future of robotics and automation at an unprecedented scale across.

Responsibilities

  • Contribute to cutting-edge research in robotics, including manipulation, autonomous navigation, locomotion, and more.
  • Develop and prototype systems that address real-world customer problems using advanced technologies.
  • Collaborate with cross-functional teams to bring research concepts to life and make significant contributions to the field.
  • Present findings and insights to peers and senior leadership, ensuring alignment with company goals and objectives.

Requirements

  • Minimum 1 year of relevant academic research or industry experience within Robotics, Computer Vision, Machine Learning, Optimization, Manipulation, Perception, Motion Planning and Controls, Movement, Autonomous Navigation, Path Planning, or related fields.
  • At least 1 year of relevant academic research or industry experience within Robotics, Computer Vision, Machine Learning, Optimization, Manipulation, Perception, Motion Planning and Controls, Movement, Autonomous Navigation, Path Planning, or related fields.
  • Publication(s) at top-tier peer-reviewed conferences or journals.
  • Experience programming in Java, C++, Python, or related languages.

Qualifications

  • Currently enrolled in a PhD program in Computer Science, Robotics, Engineering, Machine Learning, Operations Research, Mathematics, or a related quantitative field.
  • Must be eligible for and available for full-time (40 hours per week) internship in person based out of the assigned office location for the whole duration of the internship/co-op.
  • At least 1 year of relevant academic research or industry experience within Robotics, Computer Vision, Machine Learning, Optimization, Manipulation, Perception, Motion Planning and Controls, Movement, Autonomous Navigation, Path Planning, or related fields.
  • Ability to develop system prototypes.
  • Demonstrated ability to work on collaborative and cross-functional teams.
  • Drive to see a project through from research concept to working prototype.
  • Strong algorithm development experience.
  • A working knowledge of analysis of algorithms and computational complexity.
  • Familiarity with state-of-the-art algorithms in field of expertise.
  • Excellent creative problem-solving skills.
  • Strong written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to a variety of audiences.

Skills

  • Programming in Java, C++, Python, or related languages.
  • Experience with robotics, manipulation, autonomous mobile robots, mobile manipulation, movement, autonomous navigation, locomotion, motion/path planning, controls, perception, sensing, robot learning, artificial intelligence, machine learning, computer vision, large language models, human-robot interaction, robotics simulation, optimization, and more.

Benefits

  • EAP, Mental Health Support, Medical Advice Line, 401(k) matching.

Pay

  • Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching.

Schedule

  • Full-time (40 hours per week).

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