Personal Robotics Group - Research Scientist II Intern / Co-op - 2026 (robotics, Manipulation, Locomotion, Controls, Reinforcement Learning, Perception, Manipulation, Planning, Hri and More)

Amazon Amazon · Big Tech · Sunnyvale, CA · Research Science

Research Scientist II Intern/Co-op role in Amazon's Personal Robotics Group, focusing on developing intelligent robotic products and systems. The role involves research in areas like robotics manipulation, autonomous navigation, locomotion, controls, perception, robot learning, AI, ML, computer vision, LLMs, and HRI, with a goal of impacting millions of customers. The position is for PhD students and involves working on scalable research projects.

What you'd actually do

  1. Pioneering intelligent robotic products that deliver meaningful customer experiences.
  2. Building the next generation of robotic systems that will redefine how customers interact with technology.
  3. Shaping the future of personal robotics working with world-class teams pushing the boundaries of what's possible in robotic manipulation, locomotion, and human-robot interaction.
  4. Solving complex challenges at the intersection of hardware and software, and seeing your innovations deliver transformative customer experiences.

Skills

Required

  • Currently working towards a PhD degree in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, Robotics, Mathematics, Quantum Computing, Automated Reasoning or related fields
  • Relevant academic or industry research experience with state-of-the-art scientific principles and techniques in one or more science intern disciplines such as robotics, artificial intelligence, engineering, operations research, mathematics, statistics, or related
  • Experience with scripting language such as Python or R
  • Experience with optimization, modeling, and/or simulation languages and tools relevant to science intern discipline

Nice to have

  • Publications at top-tier peer-reviewed conferences or journals
  • Experience with research design, development, execution while following best practices in scientific methodology
  • Experience inventing or adapting state-of-the art scientific approaches, models, or algorithms to solve business or customer problems
  • 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

What the JD emphasized

  • PhD degree
  • robotics research
  • 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

Other signals

  • robotics
  • reinforcement learning
  • perception
  • manipulation
  • planning
  • human-robot interaction
  • machine learning