Senior Applied Science Manager, CMT

About the team
Amazon strives to be Earths most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices vast selection and convenience - Amazon continues to grow and evolve as a world-class e-commerce platform. The competitive pricing team is responsible for ensuring that we earn and keep our customer trust around our low prices. This involves ensuring for all the products that are sold on Amazon marketplaces worldwide customers get the best price.

To meet these challenges we are looking for passionate talented and innovative scientists looking to work on technology from Natural Language processing to optimization to image processing and LLMs.

Job summary
As a member of this team youll play a key role in the evolution of our Competitive Monitoring systems to solve significantly complex and interesting technical challenges in Large-scale computing Distributed systems Web applications Data mining Scalability Security and Algorithms to name a few. The teams work directly impacts customer experience at a worldwide scale.

In addition to getting the opportunity to participate in research in several domains you will lead the solution to complex pricing problems in an extremely agile environment. This role will have the opportunity to learn and work on the generative AI solutions.


Key job responsibilities
Key job responsibilities
Lead and manage teams of applied scientists and machine learning engineers providing mentorship career development and performance management
Define and execute the technical roadmap for applied science initiatives balancing innovation with business impact
Work with new technologies and methodologies that improve model performance usability and scalability of ML systems
Translate complex business requirements into technical deliverables and deliver operationally stable solutions that provide exceptional customer experiences
Participate in the full development cycle end-to-end from research and design to implementation testing documentation delivery and maintenance
Evaluate and make strategic decisions around the use of new or existing ML frameworks tools and technologies
Collaborate with Senior Engineers Principal Engineers and Principal Scientists across the organization to define architecture and research plans for the next three years
Drive scientific rigor through experimentation A/B testing and data-driven decision making
Partner with cross-functional teams including product management engineering and business stakeholders to align science initiatives with business objectives
Publish research findings and represent Amazon at top-tier conferences and in the scientific community
Establish best practices for ML development including model evaluation monitoring and continuous improvement


-10 years of building large-scale machine learning and AI solutions at Internet scale experience
-Masters degree in Computer Science (Machine Learning AI Statistics or equivalent)
-Experience building large-scale machine learning and AI solutions at Internet scale
-Experience distilling informal customer requirements into problem definitions dealing with ambiguity and competing objectives
-Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track


- PhD in Computer Science (AI/ML) or related fields

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