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
- SpringMachine learningComputer visionLLMsStatisticsOperations
- Nice to have
- Data structures & algorithms
- Work
- On-site in Seattle · internship
- Pay
- Not stated by the employer.
- Skill demand
- Machine learning19%LLMs14%Computer vision2%Spring1%of 100 similar entry-level jobs posted in the US this week
- Listed
- Nov 13, 2026 · still open
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About the Role
We are seeking current PhD students passionate about robotics research and applications to join Amazon as Robotics Applied Scientist II Interns/Co-ops in 2027. This role offers the opportunity to shape the future of robotics and transform automation at Amazon’s scale, with positions available across various Robotics teams with different research focuses. Internship durations range from 3 to 6+ months, with year-round start dates (winter, spring, summer, fall).
Key Responsibilities
- Advance the state of the art in robotics and artificial intelligence by tackling innovative problems that bridge the gap between research and real-world implementation.
- Develop novel, scalable algorithms and/or modeling techniques.
- Collaborate with cross-functional teams to solve complex problems and communicate research findings.
- Demonstrate the ability to work independently 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.
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
- 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.
- Experience programming in Python, C++, or similar language.
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.
Basic Qualifications
- Must be 18 years of age or older.