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

Amazon Amazon · Big Tech · North Reading, MA · Research Science

This role is for a PhD student intern/co-op focused on robotics research, specifically in areas like manipulation, perception, motion planning, and autonomous mobile robots. The role involves applying machine learning, computer vision, and potentially LLMs to solve real-world robotics problems, with a focus on developing research prototypes and seeing them through from concept to working prototype. The work touches on data collection/preparation for training and research.

What you'd actually do

  1. Specialization in one or more of the research areas in robotics such as: robotics, robotics manipulation (e.g., robot arm, grasping, dexterous manipulation, end of arm tools/end effector), 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!
  2. Develop system prototypes
  3. Drive to see a project through from research concept to working prototype
  4. Strong algorithm development experience
  5. Familiarity with state-of-the-art algorithms in field of expertise

Skills

Required

  • PhD program enrollment in Computer Science, Robotics, Engineering, Machine Learning, Operations Research, Mathematics, or a related quantitative field
  • Minimum of one quarter/semester/trimester remaining in studies after internship
  • 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
  • Experience programming in Java, C++, Python, or related

Nice to have

  • Publication(s) at top-tier peer-reviewed conferences or journals
  • 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

What the JD emphasized

  • PhD program
  • robotics research
  • robot learning
  • autonomous mobile robots
  • motion planning
  • computer vision
  • machine learning
  • large language models

Other signals

  • robotics research
  • robot learning
  • autonomous mobile robots
  • motion planning
  • computer vision
  • machine learning
  • large language models