ADCI
e-commerce
SeniorAppliedScienceManager,CMT
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optimal for Manager candidates.
“Senior Applied Science Manager, CMT at ADCI. Skills: Applied Science, Machine Learning, AI, Large-scale computing. Lead and manage teams of applied scientists and. Provide mentorship, career development, and performance management”
What You'll Achieve.
Improve model performance; Improve model usability; Improve model scalability; Deliver operationally stable solutions; Provide exceptional customer experiences
Industry & Context.
Problem definitions; Competing objectives; Data-driven decision making
What They're Looking For.
Must Have
10+ years of building large-scale machine learning and AI solutions at Internet scale, Master's degree in Computer Science, Experience building large-scale machine learning and AI solutions at Internet scale, Experience distilling informal customer requirements into problem definitions, Experience hiring and leading experienced scientists, Successful record of developing junior members
Nice to Have
PhD in Computer Science (AI/ML), PhD in related fields
What You'll Do.
Lead and manage teams of applied scientists and
and performance management
Define and execute the technical roadmap for applied
Balance innovation with business impact
Work with new technologies and methodologies
Improve model performance
and scalability of ML
Translate complex business requirements into technical deliverables
Deliver operationally stable solutions
Provide exceptional customer experiences
Participate in the full development cycle
Evaluate and make strategic decisions around the use
Collaborate with Senior Engineers
Define architecture and research plans
Drive scientific rigor through experimentation
Drive scientific rigor through A/B testing
Drive scientific rigor through data-driven decision making
Partner with cross-functional teams
Align science initiatives with business objectives
Publish research findings
Represent Amazon at top-tier conferences
Represent Amazon in the scientific community
Establish best practices for ML development
Establish best practices for model evaluation
Establish best practices for monitoring
Establish best practices for continuous improvement
How You'll Work.
Team & Collaboration
Cross-functional teams; Product management; Engineering; Business stakeholders; Senior Engineers; Principal Engineers; Principal Scientists
Communication Scope
Publish research findings; Represent Amazon at top-tier conferences; Represent Amazon in the scientific community
Process & Methodology
Roadmap planning
Full Job Description
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 exp
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