DESCRIPTION

Are you passionate about data science? 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?

At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world's most beloved brands.

We're looking for current Master's and PhD students with a passion for robotic research and applications to join us as Robotics Data Scientist Intern/Co-ops in 2026 to shape the future of robotics and automation at an unprecedented scale across. For these positions, our Robotics teams at Amazon are looking for students with a specialization in one or more of the research areas such as robotics, data science, computer vision, large language models, visual language models, statistics, machine learning, causal inference, deep learning, artificial intelligence, applied generative AI, operations research, data analysis, predictive modeling, and more!

We're looking for curious minds who think big and want to define tomorrow's technology. At Amazon, you'll grow into the high-impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges and opportunities for personal growth.

By applying to this role, you will be considered for Robotics Data Science Intern/Co-op (2026) opportunities across various Robotics teams at Amazon with different robotics research focus, with internship positions available for multiple locations, durations (3 to 6+ months), and year-round start dates (winter, spring, summer, fall).

Amazon intern and co-op roles follow the same internship structure. "Intern/Internship" wording refers to both interns and co-ops. Amazon internships across all seasons are full-time positions, and interns should expect to work in office, Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Interns should not have conflicts such as classes or other employment during the Amazon work-day. Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes.

The robotics internship join dates, length, location, and prospective team will be finalized at the time of any applicable job offers. In your application, you will be able to provide your preference of research interests, start dates, internship duration, and location. While your preference will be taken into consideration, we cannot guarantee that we can meet your selection based on several factors including but not limited to the internship availability and business needs of this role.

Key job responsibilities

Design and implement state-of-the-art solutions for never-before-solved problems.
Collaborate closely with other research and robotics experts to design and run experiments, research new algorithms, and find new ways to improve Amazon Robotics analytics to optimize the Customer experience.
Partner with technology and product leaders to solve business problems using scientific approaches.
Build new tools and invent business insights that surprise and delight our customers.
Work to quantify system performance at scale, and to expand the breadth and depth of our analysis to increase the ability of software components and warehouse processes.
Work to evolve our library of key performance indicators and construct experiments that efficiently root cause emergent behaviors.
Engage with software development teams and warehouse design engineers to drive the evolution of the Amazon Robotics system, as well as the simulation engine that supports our work.

About the team

Learn more about Robotics at Amazon

https://www.aboutamazon.com/news/operations/amazon-robotics-robots-fulfillment-center

https://www.aboutamazon.com/news/operations/amazon-million-robots-ai-foundation-model

BASIC QUALIFICATIONS

Are 18 years of age or older
Currently enrolled in a Master's or PhD program in Data Science, Mathematics, Statistics, Computer Science, Robotics, Engineering, Machine Learning, Computer Vision, Operations Research, Mathematics, Economics, Computer Science or a related quantitative field
Must be eligible for and available for full-time (40 hours per week) internship based out of the assigned office location for the whole duration of the internship/co-op
At least 1 year of relevant academic research or industry experience within relevant science disciplines such as Machine Learning, Applied Statistics, Computer Vision, Optimization, or related At least 1 year of experience working as a data scientist or a similar role involving data extraction, analysis, statistical modeling, and communication
At least 1 year of experience using data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab, etc.)

PREFERRED QUALIFICATIONS

Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
Excellent communication skills with ability to explain complex technical concepts to non-technical audience, while also efficiently interacting with deeply technical peers
Understanding of data engineering and business intelligence
Quantitative and qualitative data analysis experience with demonstrated impact to a business, a track record of creative problem solving, and the desire to create and build new processes
Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations Experience with Natural language processing (NLP) and working with large language models
Experience with causal inference modeling
Experience with A/B testing and data wrangling

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.

The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. 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.

USA, MA, N.Reading - 108,300.00 - 160,000.00 USD annually

USA, MA, North Reading - 108,300.00 - 160,000.00 USD annually

USA, MA, WESTBORO - 108,300.00 - 160,000.00 USD annually

USA, MA, WESTBOROUGH - 108,300.00 - 160,000.00 USD annually

USA, MA, Westboro - 108,300.00 - 160,000.00 USD annually

USA, MA, Westborough - 108,300.00 - 160,000.00 USD annually

USA, WA, BELLEVUE - 108,300.00 - 160,000.00 USD annually

USA, WA, Bellevue - 108,300.00 - 160,000.00 USD annually

USA, WA, SEATTLE - 108,300.00 - 160,000.00 USD annually

USA, WA, Seattle - 108,300.00 - 160,000.00 USD annually

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