intern machine learning Applied Scientist ic Phd's · Posted Oct 8, 2025
$171,600 – $222,200
USD per year

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, Spring, LLMs. Listed education preference: a Ph.D. or equivalent. Compensation is listed at $171,600–$222,200 per year.

Role
Applied Scientist
Function
machine learning
Level
intern
Track
Individual contributor
Employment
Internship
Location
North Reading, MA
Work mode
On-site
Education
Ph.D. preferred
Department
Research Science
Posted
Oct 8, 2025
AI Summary
PhD students conduct robotics research including manipulation, autonomous navigation, perception, and machine learning. Design and implement scalable solutions impacting millions of customers. Work collaboratively on cutting-edge robotics and automation projects.

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Job description

from Amazon careers

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. For these positions, our Robotics teams at Amazon are looking for students with a 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! We're looking for curious minds who…

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