Research Scientist, Optimization, Planning and Task-...
Amazon - Westborough, MA
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Research Scientist, Optimization, Planning and Task-Assignment, Amazon RoboticsJob ID: 2718607 | Services LLCAre you excited about developing algorithms and models to power Amazon's next generation robotic storage systems? Are you looking for opportunities to build and deploy them on real problems at truly vast scale? At Amazon Fulfillment Technologies and Robotics we are on a mission to build high-performance autonomous systems that perceive and act to further improve our world-class customer experience - at Amazon scale. We are looking for enthusiastic scientists for a variety of roles.Ready to make your application Please do read through the description at least once before clicking on Apply.The Research team at Amazon Robotics is seeking a passionate, collaborative, hands-on Research Scientist to develop planning and scheduling algorithms to support Amazon's next generation robotic storage systems. The focus of this position is workflow optimization and robot task-assignment. It includes designing and evaluating planning and scheduling algorithms using a combination of machine learning and optimization methods as appropriate. This work spans from research such as optimal decision making, to policy learning, to experimenting using simulation and modeling tools, to running large-scale A/B tests on robots in our facilities.The ideal candidate for this position will be familiar with planning or learning algorithms at both the theoretical and implementation levels. You will have the chance to solve complex scientific problems and see your solutions come to life in Amazon's warehouses!Key job responsibilities:Research design - How to solve a particular research problemResearch delivery - Proving/dis-proving strategies in offline data or in simulationProduction studies - Insights from production data or ad-hoc experimentationPrototype implementation - Building key parts of algorithms or model prototypesA day in the life:On a typical day in this role you will work to progress your research projects, meet with engineering, systems, and solutions stakeholders, brainstorm with other scientists on the team, and participate in team processes. You will follow your research projects through the entire life cycle of design, implementation, evaluation, analysis, and will communicate your findings and results through technical papers and reports. You will consult with engineering teams as they incorporate your models and analyses into system and process designs.Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:Medical, Dental, and Vision CoverageMaternity and Parental Leave OptionsPaid Time Off (PTO)401(k) PlanIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!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.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of quantitative field research experience- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products- Experience analyzing both experimental and observational data sets- Knowledge of R, MATLAB, Python or similar scripting language- Experience in planning and optimizationPREFERRED QUALIFICATIONS- Experience with any programming language such as Python, Java, C++- Experience with experimental design- Experience in machine learning, statistics, and deep learningAmazon 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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Created: 2024-10-21