Amazon Robotics - Research Scientist Intern - Summer 2025, Amazon Robotics

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun.

The Research Science team at Amazon Robotics is seeking interns with a passion for robotic research to work on cutting edge algorithms for robotics. Our team works on challenging and high-impact projects, including allocating resources to complete a million orders a day, coordinating the motion of thousands of robots, autonomous navigation in warehouses, and learning how to grasp all the products Amazon sells. We are seeking internship candidates with backgrounds in computer vision, machine learning, resource allocation, discrete optimization, search, planning/scheduling, and reinforcement learning. As an intern you will develop a new algorithm to solve one of the challenging computer vision and manipulation problems in Amazon's robotic warehouses. Your project will fit your academic research experience and interests. You will code and test out your solutions in increasingly realistic scenarios and iterate on the idea with your mentor to find the best solution to the problem.

Basic Qualifications

- Currently enrolled in a PhD program in Computer Science, Engineering, Machine Learning, Operations Research or similar with a graduation date after December 2025
- Must be available and eligible for a full-time (40h/week) internship between May/June and August/September 2025
- At least two years of relevant academic research in state-of-the-art approaches for at least one of computer vision, resource allocation, optimization, planning, machine learning, or reinforcement learning
- Fluency in at least one statistical software package such as R, Stata, or Matlab
- Experience with programming languages such as Java, C++, Python

Preferred Qualifications

- Superior communication and data presentation skills
- Prior use of Java or C++ for research algorithm development
- Demonstrated ability to work on collaborative, cross-functional teams
- Understanding of big data computing frameworks (Hadoop, Spark, etc) and Amazon Web Services
- Scientific mindset and the ability to invent, excellent creative problem solving skills
- Ability to develop system prototypes in simulation
- Drive to see a project through from research concept to working simulation prototype
- A working knowledge of analysis of algorithms and computational complexity

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

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $65.38/hr in our lowest geographic market up to $102.31/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.