2027 Applied Science Internship, Robotics

Amazon Science

North Reading, MA18–20 yrs44m agovia LinkedIn

Posted 14 Nov 2026, 17:41 ET

This job at a glance

Who can apply
18–20 years of experience
Must know
Machine learningLLMsStatisticsOperationsPythonC++
Nice to have
Data structures & algorithmsComputer visionPyTorch
Work
On-site in North Reading · internship
Pay
Not stated by the employer.
Skill demand
Operations34%Statistics21%Machine learning13%LLMs8%of 100 similar entry-level jobs posted in the US this week
Listed
Nov 14, 2026 · still open

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About the Role

We are seeking PhD students passionate about robotics research and applications to join us in 2027 as Robotics Applied Scientist II Interns/Co-ops. This role offers the opportunity to shape the future of robotics and transform automation at Amazon’s scale. Internship positions are available for multiple locations, durations (3 to 6+ months), and year-round start dates.

Key Responsibilities

  • Advance the state of the art in robotics and artificial intelligence, tackling innovative problems that bridge the gap between research and real-world robotics implementation.
  • Innovate and build solutions on behalf of customers.
  • Develop novel, scalable algorithms and/or modeling techniques in areas such as robotics, artificial intelligence, or related fields.
  • Tackle challenging, innovative research problems that bridge the gap between theoretical advancement and practical robotics implementation.
  • Collaborate with cross-functional teams to solve complex problems and communicate research findings.
  • Demonstrate the ability to work independently and thrive in a fast-paced, ever-changing environment.
  • Leverage AI-powered tools where applicable to accelerate research, experimentation, and prototyping.
  • Critically review and validate outputs from AI tools and automated systems.

Areas of Interest

We are particularly interested in students with specialization and expertise in one or more of the following research areas:

  • Robotics
  • Artificial Intelligence
  • Robotics Manipulation (e.g., robot arm, grasping, dexterous manipulation, end of arm tools/end effector)
  • Autonomous Mobile Robots
  • Mobile Manipulation
  • Multi-Robot Coordination
  • Autonomous Navigation
  • Locomotion
  • Motion/Path Planning
  • Controls
  • Perception
  • Sensing
  • Robot Learning
  • Machine Learning
  • Computer Vision
  • Large Language Models (LLM), Vision-Language-Action Models (VLA), Vision-Language-Models (VLM)
  • World Models
  • Human-Robot Interaction
  • Robotics Simulation
  • Optimization
  • And related fields.

Requirements & Tech Stack

  • Are 18 years of age or older.
  • Are enrolled in a PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field.
  • Demonstrated science depth in a specific research area, evidenced through publications, thesis work, or equivalent contributions.
  • 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, or related.
  • Experience programming in Python, C++, or similar language.

Preferred Qualifications

  • 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.
  • Experience with algorithm development, data structures implementation, and software development concepts and methodologies.
  • 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.
  • Experience implementing algorithms using modern robotics and vision toolkits (e.g. PyTorch, ROS2, Isaac Sim, OpenCV, or PCL).
  • Experience with AI-assisted development tools to accelerate research, coding, or evaluation.

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