Amazon Robotics - Applied Science Intern / Co-op - 2024

Are you inspired by innovation? Do you excel in problem-solving within a team environment? Are you fascinated by seeing the bigger impact of your contributions? If you answered yes to any of these questions, then you'll be a perfect fit at Amazon Robotics. Our talented team is dedicated to integrating state-of-the-art robotics and software to solve real-world challenges, transforming our customers’ experiences in ways that have yet to be discovered. We're responsible for countless improvements daily. At Amazon Robotics, we will provide you with all the tools and support necessary to express your creativity and abilities in the most rewarding, fulfilling, and enjoyable ways. Amazon Robotics is on the lookout for Applied Science Interns and Co-ops who share our fascination for robotic research and cutting-edge algorithms. Our team works on high-stake, high-impact robotics projects. These projects range from resourcing the completion of millions of orders per day, coordinating thousands of robots, autonomous warehouse navigation, object and damage identification, to learning ways to handle every product sold by Amazon. As an Applied Science Intern/Co-op at Amazon Robotics, you may be assigned to one or multiple projects focusing on technologies such as autonomous mobile robots, robot manipulators, and computer vision identification technologies. The details of your project(s) and location of your internship/co-op will depend on the team you will be joining. It should be noted that by submitting your application for this role, you may be considered for Applied Scientist summer intern, spring co-op, and fall co-op roles across various Amazon Robotics teams. These teams invest their efforts in robotics research within various fields such as computer vision, machine learning, robotic manipulation, navigation, path planning, perception, optimization, and more. To learn more about Amazon Robotics, visit: https://amazon.jobs/en/teams/amazon-robotics We can accommodate applicants in any one of the following locations: North Reading, MA, USA | Seattle, WA, USA | Westborough, MA, USA Basic Qualifications: - Currently enrolled in a US-based PhD program in Computer Science, Robotics, Engineering, Machine Learning, Operations Research, Mathematics, or a related quantitative field - Expected graduation date of December 2024 or later - Availability for a full-time internship (40 hours per week) for the entire duration of the internship/co-op - At least 1 year of practical academic research or industry experience in Robotics, Computer Vision, Machine Learning, Optimization, Manipulation, Perception, Motion Planning and Controls, Autonomous Navigation, Path Planning or a similar field - Experience in Java, C++, Python, or related programming languages - Excellent written and verbal communication skills, able to effectively communicate complex technical information in a clear and concise manner to different audiences Preferred Qualifications: - Publication(s) in top-tier peer-reviewed conferences or journals - Ability to develop system prototypes - Proven ability to work in collaborative and cross-functional teams - Determination to bring a research concept to a working prototype - Strong algorithm development experience - Good understanding of algorithm analysis and computational complexity - Familiarity with the latest algorithms in your field of expertise - Outstanding creative problem-solving skills Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status. If you're an individual with disabilities requiring accommodations, visit https://www.amazon.jobs/en/disability/us. The compensation packages for this position reflect labor costs across several US geographic markets, with base pay ranging from $65.68/hr in our lowest market up to $106.83/hr in our highest. Pay varies based on a variety of factors, which might include market location, job-related knowledge, skills, and experience. Amazon believes in total compensation. Depending on the position, additional forms of compensation such as equity, sign-on bonuses and other benefits may be provided, as well as a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Candidates are invited to apply via our internal or external career site.