Applied Scientist, Speed + AI

AmazonBellevue, WA
Onsite

About The Position

This is a SUPER high-visibility work with the mission to provide consistent, accurate, and relevant delivery information to every single page on every Amazon-owned site. Millions of customers will be impacted by your contributions, as the changes made directly impact the customer experience on every Amazon site. This is a great position for someone who likes to leverage Machine learning technologies to solve real customer problems and also wants to see and measure their direct impact on customers. The team is a cross-functional team that owns the ENTIRE delivery experience for customers, from business requirements to the technical systems that allow for direct impact on the on-site experience from a central service. Business and technical team members are integrated so everyone is involved through the entire development process. You will have a chance to develop state-of-the-art machine learning, including deep learning and reinforcement learning models, to build targeting, recommendation, and optimization services to impact millions of Amazon customers. The role involves using machine learning and statistical techniques to deliver the best delivery experience on every Amazon-owned site, analyzing and modeling terabytes of data on the cloud, and creating state-of-the-art algorithms to solve real-world problems. You will own end-to-end business problems/metrics and directly impact the profitability of the company through innovation and simplification.

Requirements

  • Experience programming in Java, C++, Python or related language
  • Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse

Nice To Haves

  • Experience implementing algorithms using both toolkits and self-developed code
  • Have publications at top-tier peer-reviewed conferences or journals

Responsibilities

  • Research and implement machine learning and GenAI techniques to create scalable and effective models in Delivery Experience (DEX) systems
  • Solve business problems and identify business opportunities to provide the best delivery experience on all Amazon-owned sites.
  • Design and develop highly innovative machine learning and deep learning models for big data.
  • Build state-of-the-art ranking and recommendations models and apply to Amazon search engine.
  • Analyze and understand large amounts of Amazon’s historical business data to detect patterns, to analyze trends and to identify correlations and causalities.
  • Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.

Benefits

  • health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
  • 401(k) matching
  • paid time off
  • parental leave
  • sign-on payments
  • restricted stock units (RSUs)
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