2027 Applied Science Internship, Robotics
Amazon
Posted 13 Nov 2026, 21:04 ET
This job at a glance
- Who can apply
- 18–20 years of experience
- Must know
- Machine learningComputer visionLLMsStatisticsOperationsPython
- Nice to have
- Data structures & algorithms
- Work
- On-site in Bellevue · internship
- Pay
- Not stated by the employer.
- Skill demand
- Machine learning18%Statistics17%LLMs13%Computer vision1%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 13, 2026 · still open
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About the Role
Join Amazon as a Robotics Applied Scientist II Intern/Co-op in 2027. This opportunity is for current PhD students passionate about robotics research and applications, aiming to shape the future of robotics and transform automation at Amazon's scale. Internships are available year-round across various Amazon Robotics teams, with durations of 3 to 6+ months and multiple location options.
Key Responsibilities
- Advance the state of the art in robotics and artificial intelligence by tackling innovative problems that bridge research and real-world implementation.
- Develop novel, scalable algorithms and modeling techniques.
- Collaborate with cross-functional teams to solve complex problems and communicate research findings.
- Work independently in a fast-paced, ever-changing environment.
- Leverage AI-powered tools to accelerate research, experimentation, and prototyping, and critically review their outputs.
Research Areas of Interest
- 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
- Currently enrolled in a PhD program 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 areas such as robotics, artificial intelligence, or related.
- Experience programming in Python, C++, or similar languages.
Preferred Qualifications
- Publications at top-tier peer-reviewed conferences or journals.
- Experience with research design, development, and execution 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.
- Experience implementing algorithms using modern robotics and vision toolkits (e.g., PyTorch, ROS2, Isaac Sim, OpenCV, or PCL).
- Experience with AI-assisted development tools.