2027 Applied Science Internship - Robotics - United States

AmazonMassachusetts, United StatesOn-siteInternshipListed 1 hour ago

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About this role

Description

Robotics Applied Scientist II Intern/Co-op (2027)

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?

We’re looking for current PhD students with a passion for robotic research and applications to join us in 2027 as Robotics Applied Scientist II Interns/Co-ops to shape the future of robotics and transform automation at Amazon’s scale.

By applying to this role, you will be considered for Robotics Applied Scientist II Intern/Co-op (2027) opportunities across various Robotics teams at Amazon with different robotics research focus. Internship positions are available for multiple locations, durations (3 to 6+ months), and year-round start dates (winter, spring, summer, fall).

Join us at the forefront of Applied Science, where your contributions will shape the future of Robotics!

Key job responsibilities
As a Robotics Applied Scientist II Intern/Co-op, you will work alongside global experts to 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 to innovate and build solutions on behalf of our customers.

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!

Key responsibilities may include:
- Develop novel, scalable algorithms and/or modeling techniques that advance the state-of-the-art in science areas such as robotics, artificial intelligence, or related
- Tackle challenging, innovative research problems within robotics, artificial intelligence, or related that bridge the gap between theoretical advancement and practical robotics implementation
- Collaborate with cross-functional teams to solve complex problems, and to communicate research findings clearly, leveraging your expertise in robotics, artificial intelligence, or related
- Demonstrate the ability to work independently, 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.

About the team
Explore Robotics Teams at Amazon

At Amazon, robotics is where innovative research meets real-world deployment. There are many different specialized robotics teams, including the few highlighted below. Learn more about Robotics at Amazon here: https://www.amazon.science/research-areas/robotics

Fulfillment Technologies and Robotics
We build dynamic partnerships between people and intelligent machines. This intricate collaboration helps Amazon fulfill orders with unmatched accuracy. Working in symphony with our robotic technology, you’ll have the opportunity to extend your technical capabilities by working alongside some of the industry’s most advanced technologies. This includes our fleet of autonomous mobile robots, sophisticated control software, and technologies like language perception, machine learning, object recognition, and semantic understanding of commands. These technologies help us deliver an ever-improving customer and employee experience, as well as improve the safety of our facilities.

Amazon Robotics
Amazon Robotics is at the epicenter of robotics innovation. We design, test, and build mobile robots and mechatronic systems. Our offices, labs, test floors, and factories are close together, which means we can design the hardware, write the code, test, build, and watch it all come to life. Our areas of focus include advancements in autonomous mobility, AI, robotic management software, and much more.

Fauna
Fauna is focused on building capable, safe, and genuinely delightful robots for everyday life. Fauna’s goal is simple: make robots people actually want to live and interact with everyday. Fauna develops tightly integrated hardware and software systems that make it faster, safer, and more intuitive to create real-world robotic products. Fauna’s work spans the full stack: mechanical design, control systems, dynamic modeling, and intelligent software. The focus is not just functionality, but overall experience.

Amazon Fulfillment Technologies
Amazon Fulfillment Technologies develops tech solutions that create network optimizations for all Amazon sites worldwide. We own network infrastructure and devices in all buildings and labor planning and scheduling technology for fulfillment centers in North America and Europe.

Basic Qualifications

- Are 18 years of age or older
- Are enrolled in a PhD
- 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The starting pay for this position is listed below. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits .

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