About the team

• Amazon strives to be Earth's 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, you'll 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 team's 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

Basic Qualifications

• 10+ years of building large-scale machine learning and AI solutions at Internet scale experience
• Master's 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

Preferred Qualifications

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

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