Data Scientist • Entry-Level

Who you are

You are a motivated individual with a passion for problem-solving and teamwork — you thrive in environments where innovation is encouraged and your contributions can make a real impact. You have a foundational understanding of machine learning principles and are eager to apply your knowledge in practical settings. Your curiosity drives you to explore new technologies and methodologies, particularly in the realm of robotics and automation.

You possess strong programming skills, particularly in Python, and are familiar with concepts in computer vision and data analysis. You enjoy collaborating with others and are excited about the opportunity to work alongside experienced professionals in a dynamic team environment. You are looking for an internship that will allow you to grow your skills and gain valuable experience in the tech industry.

What you'll do

As a Data Science Intern at Amazon Robotics, you will work on projects that leverage cutting-edge advances in robotics and software to solve real-world challenges. You will assist in developing algorithms that enhance the capabilities of autonomous mobile robots, focusing on areas such as object recognition and semantic understanding of commands. Your role will involve analyzing data to improve robotic performance and contribute to the overall mission of automating fulfillment center operations.

You will collaborate with a team of engineers and researchers, participating in brainstorming sessions and contributing your ideas to ongoing projects. You will have the opportunity to learn from experienced professionals and gain insights into the practical applications of machine learning and computer vision in the field of robotics. This internship will provide you with hands-on experience and a deeper understanding of how data science can drive innovation in automation.

What we offer

Amazon Robotics offers a supportive and collaborative work environment where you can grow your skills and make meaningful contributions. You will have access to the latest tools and technologies, as well as mentorship from experienced professionals in the field. This internship is a full-time position, allowing you to immerse yourself in the work and gain valuable experience. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.