Job description

Job summary 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 who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. 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. Amazon.com empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas. This role is a 6-month Co-Op to join AR full-time (40 hours/week) from January 9, 2023 to June, 23 2023. Amazon Robotics co-op opportunities will be hybrid (2 - 3 days a week) and based out of the Greater Boston Area in Westborough, MA. Both campuses provide a unique opportunity to have direct access to robotics testing labs and manufacturing facilities. Key job responsibilities We are seeking data scientist co-ops to help us analyze data, quantify uncertainty, and build machine learning models to make quick prediction.
• Currently enrolled in college/university and must have at least one semester/term/quarter of school left to complete after the end of the Co-Op • Must be eligible and available for 6-month Co-Op between January - June for full-time work (40h / week) • Programming experience in Python, R or equivalent • Background in applied statistics or machine learning 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 other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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