Amazon Industrial Robotics - Applied Scientist II Intern / Co-op - 2026, Amazon Industrial Robotics
Amazon · North Reading, MA · Research Science
About this role
Amazon is hiring a intern-level Applied Scientist in the machine learning function based in North Reading, MA. The posting calls out experience with Python, Java, LLMs, Computer Vision and roughly 1+ years of relevant work. Listed education preference: a Ph.D. or equivalent.
- Role
- Applied Scientist
- Function
- machine learning
- Level
- intern
- Track
- Individual contributor
- Employment
- Internship
- Location
- North Reading, MA
- Work mode
- On-site
- Experience
- 1+ years
- Education
- Ph.D. preferred
- Department
- Research Science
- Posted
- Nov 25, 2025
More roles at Amazon
Job description
from Amazon careersAmazon Industrial Robotics is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. We're building revolutionary robotic systems that combine cutting-edge AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at an unprecedented scale, working with world-class teams pushing the boundaries of what's possible in robotic dexterous manipulation, locomotion, and human-robot interaction. This role presents an opportunity to shape the future of robotics through innovative applications of deep learning and large language models. At Amazon Industrial Robotics we leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at an unprecedented scale. Our fleet of robots operates across hundreds of facilities worldwide, working in sophisticated coordination to fulfill our mission of customer excellence. We are pioneering the development of systems that: • Enables unprecedented generalization across diverse tasks • Enables contact-rich manipulation in different environments • Seamlessly integrates mobility and manipulation • Leverage mechanical intelligence, multi-modal sensor feedback and advanced control techniques. The ideal candidate will contribute to research that…