Amazon-posted 3 months ago
$196,900 - $340,300/Yr
Full-time • Senior
Seattle, WA

Join us in the evolution of Amazon’s Seller business! The Selling Partner Growth organization is the growth and development engine for our Store. Partnering with business, product, and engineering, we aim to accelerate the growth of Sellers by providing tools and insights that enable them to make better and faster decisions at each step of selection management. To accomplish this, we offer intelligent insights that are both detailed and actionable, allowing Sellers to introduce new products and engage with customers effectively. We leverage extensive structured and unstructured data to generate science-based insights about their business. Furthermore, we provide personalized recommendations tailored to individual Sellers' business objectives through agentic experience to drive adoption and facilitate growth. These insights and recommendations are integrated into our direct seller-facing products, including Amazon Brand Analytics (ABA), Product Opportunity Explorer (OX), and Growth Agent.

  • Lead and grow a team of applied scientists working on selection success
  • Drive the technical vision for implementing ML and LLM-based solutions to provide the agentic selection recommendation experience and drive seller growth
  • Drive scalable ML/DL/RL and LLM solutions that can handle the breadth and complexity of guiding Amazon 3P sellers to success at scale
  • Collaborate with product, engineering, and business teams to define and execute the technical roadmap
  • Translate complex customer problems into practical ML solutions
  • Monitor and improve key performance metrics for seller performance, ease of use and satisfaction
  • Stay current with the latest developments in ML/DL/LLM research and identify opportunities for implementation
  • Ph.D. in Computer Science, Mathematics, Statistics, related field, or equivalent experience
  • 10+ years of experience in applied science and software development at large scale
  • Experience building complex software systems that have been successfully delivered to customers
  • Extensive experience building predictive and optimization models
  • Expert knowledge and practical experience in several of the following areas: machine learning, statistics, deep learning, natural language processing, informational retrieval
  • Proven track record of leading and mentoring applied scientists
  • Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis
  • Proficiency in, at least, one modern programming language such as C, C++, Java, or Python
  • Ability to take a complex problem from scoping requirements through actual launch of the project
  • Excellent written and oral communication skills
  • Experience in website optimization, recommender systems
  • Experience with distributed machine learning systems with billions of data points
  • 10+ years of hands-on experience in predictive modeling and analysis
  • Significant peer reviewed scientific contributions in premier journals and conferences
  • Experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs
  • Proven track record leading, mentoring, and growing teams of scientists
  • Equity options
  • Sign-on payments
  • Full range of medical benefits
  • Financial benefits
  • Other forms of compensation
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