Are you excited about developing state of the art Machine Learning (ML) capabilities to power Amazons robotic storage solutions Are you looking for opportunities to build and deploy Machine Learning models on real problems at truly vast scale At Amazon Robotics we are on a mission to build highperformance autonomous systems that perceive and act to further improve our worldclass customer experience at Amazon scale.
The Robotic Storage Technologies (RST) team at Amazon Robotics is seeking a passionate collaborative handson Applied Scientist to develop algorithms that foster optimal choice selection in Amazons next generation robotic storage systems. You will explore and leverage huge amounts of inventory and robotic transactional data from our growing network of warehouses across the globe. You will utilize a combination of machine learning reinforcement learning and optimization methods to drive high performance that scales and adapts under dynamic operating conditions. This work spans from early research and simulation of new ideas through deployment and continuous improvements as our solutions and Amazons needs continually evolve.
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 Amazons warehouses!
Key job responsibilities
Research new ideas and contribute to the vision of our science roadmap.
Design and develop models and algorithms that perform at Amazon scale.
Work closely with software engineering teams to deploy your innovations.
Monitor troubleshoot and continuously improve production in performance.
Contribute to development of simulation and other forms of offline policy evolution.
Publish your work at major conferences/journals.
A day in the life
On a typical day in this role you will work to progress your research projects; meet with robotic storage engineering systems and solutions stakeholders; brainstorm with other scientists on the team and participate in team processes. You will follow your research projects though the entire life cycle of design prototype implementation evaluation analysis and you will communicate your findings and results through technical papers and reports. You will collaborate with software development teams to implement your ideas in production software services and design experiments to pilot your algorithms and models in Amazons robotic warehouses.
Amazon offers a full range of benefits that support you and eligible family members including domestic partners. 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 fulltime employees include:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
About the team
Robotic Storage Technologies (RST) owns automation of storage and retrieval solutions in Amazons vast network of fulfillment centers across the globe. Our solutions are driven by fleets of hundreds of robots and our customers are operations engineers and associates who help fulfill millions of orders per day. You will be part of a team of scientists embedded within the software organization that supports the solutions you help to deploy.
PhD or Masters degree and 4 years of CS CE ML or related field experience
Experience programming in Java C Python or related language
3 years of building machine learning models or developing algorithms for business application experience
Experience applying theoretical models in an applied environment
Experience in patents or publications at toptier peerreviewed conferences or journals
Experience with popular deep learning frameworks such as MxNet and Tensor Flow
Experience in investigating designing prototyping and delivering new and innovative system solutions
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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