Amazon
Principal Applied Scientist - Planning and Learning, Amazon Robotics
Amazon, North Reading, Massachusetts, United States, 01814
Principal Applied Scientist - Planning and Learning, Amazon Robotics
Job ID: 2595608 | Amazon.com Services LLCAmazon Robotics is seeking a Principal Applied Scientist to develop state-of-the-art algorithms to control the fleet of 750,000 mobile robots in Amazon’s order fulfillment network. You will have the chance to solve complex planning and coordination problems and see your solutions come to life in Amazon’s warehouses!In this position, you will own the science of planning and scheduling fleet activities to achieve system-level objectives across a broad range of building types and workflows. You will improve the algorithms that control today’s global robotic fleet to unlock new opportunities for Amazon’s evolving network, as well as develop new capabilities from the ground up. You will explore how to leverage the power of our robotic mobility foundation model to predict the motion of the fleet to enable new ways of making decisions at scale. You will influence the design of future warehouses and the integration of new robotic technologies.This role offers the chance to have broad impact on the next wave of robotics. You will collaborate with brilliant colleagues in a culture that values ingenuity, teamwork and delivering impact. Come join our mission to pioneer the future of automation!About the team
Our multi-disciplinary science team includes scientists with backgrounds in simulation, planning and scheduling, grasping and manipulation, machine learning, and operations research. We develop novel planning algorithms and machine learning methods and apply them to real-world robotic warehouses, including:Planning and coordinating the paths of thousands of robotsDynamic allocation and scheduling of tasks to thousands of robotsLearning how to adapt system behavior to varying operating conditionsCo-design of robotic logistics processes and the algorithms to optimize themOur team also serves as a hub to foster innovation and support scientists across Amazon Robotics. We also coordinate research engagements with academia, such as the Robotics section of the Amazon Research Awards.We are open to hiring candidates to work out of one of the following locations:North Reading, MA, USA | Westborough, MA, USABASIC QUALIFICATIONS
PhD degree in Robotics, CS or related technical field10+ years of relevant, broad research experience after a PhD degreeExperience programming in C++, Java, Python or related languageExperience using state of the art planning and machine learning methodsStrong publication record with contributions to leading conferences/journalsPREFERRED QUALIFICATIONS
Extensive experience developing and deploying algorithms for planning and control of real world applicationsDeep knowledge of adjacent fields, including optimization, heuristic search, and deep learningComfort working in a fast-paced development environmentAbility to identify unsolved problems and creatively invent solutionsProven track record of innovationAmazon 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.
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Job ID: 2595608 | Amazon.com Services LLCAmazon Robotics is seeking a Principal Applied Scientist to develop state-of-the-art algorithms to control the fleet of 750,000 mobile robots in Amazon’s order fulfillment network. You will have the chance to solve complex planning and coordination problems and see your solutions come to life in Amazon’s warehouses!In this position, you will own the science of planning and scheduling fleet activities to achieve system-level objectives across a broad range of building types and workflows. You will improve the algorithms that control today’s global robotic fleet to unlock new opportunities for Amazon’s evolving network, as well as develop new capabilities from the ground up. You will explore how to leverage the power of our robotic mobility foundation model to predict the motion of the fleet to enable new ways of making decisions at scale. You will influence the design of future warehouses and the integration of new robotic technologies.This role offers the chance to have broad impact on the next wave of robotics. You will collaborate with brilliant colleagues in a culture that values ingenuity, teamwork and delivering impact. Come join our mission to pioneer the future of automation!About the team
Our multi-disciplinary science team includes scientists with backgrounds in simulation, planning and scheduling, grasping and manipulation, machine learning, and operations research. We develop novel planning algorithms and machine learning methods and apply them to real-world robotic warehouses, including:Planning and coordinating the paths of thousands of robotsDynamic allocation and scheduling of tasks to thousands of robotsLearning how to adapt system behavior to varying operating conditionsCo-design of robotic logistics processes and the algorithms to optimize themOur team also serves as a hub to foster innovation and support scientists across Amazon Robotics. We also coordinate research engagements with academia, such as the Robotics section of the Amazon Research Awards.We are open to hiring candidates to work out of one of the following locations:North Reading, MA, USA | Westborough, MA, USABASIC QUALIFICATIONS
PhD degree in Robotics, CS or related technical field10+ years of relevant, broad research experience after a PhD degreeExperience programming in C++, Java, Python or related languageExperience using state of the art planning and machine learning methodsStrong publication record with contributions to leading conferences/journalsPREFERRED QUALIFICATIONS
Extensive experience developing and deploying algorithms for planning and control of real world applicationsDeep knowledge of adjacent fields, including optimization, heuristic search, and deep learningComfort working in a fast-paced development environmentAbility to identify unsolved problems and creatively invent solutionsProven track record of innovationAmazon 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.
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