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Amazon Sr Manager Applied Science Seller Growth Business United States, Washington, Seattle 628232884
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Key job responsibilities
Your responsibilities will include:
• Taking full service ownership of your teams including developing research and engineering (product roadmaps), developing and tracking relevant metrics, and ensuring system performance.
• Ensuring the team are publishing high-quality research in top conferences and journals, which are also directly impactful for our customers.
• Delivering against project plans and program commitments.
• Managing the day-to-day activities of a combined science and engineering team within an Agile environment, but paying attention to the different timescales of development.
• Hiring research scientist and engineers to continue to grow the team.
• Coaching and developing scientists to maintain standards and to drive career growth for your direct reports.
• Building a team culture around technical excellence and strong delivery.
• Ph.D. degree in Computer Science, Computer Engineering, Machine Learning, or related field
• Typically requires 10+ years of relevant work experience
• Excellent publication record of ML and NLP at major conferences that shows breadth and depth
• Recognized as a leader in area of specialty (machine learning, Natural Language Processing, etc.)
• Proven track record of mentoring and developing other researchers
• Strongly desirable to be proficient in more than one more major programming languages (C++, Java, C#, C, Perl/Ruby, etc.)
• Expert in some mathematical programming libraries (such as R, Weka, Matlab, SAS)
• Expert knowledge in model evaluation and performance, operationalization and scalability of scientific techniques and establishing decision strategies.
PREFERRED QUALIFICATIONS
• Industry experience showing research results being deployed at scale
• Experience building and delivering models for complex systems that leverage our technology platform and work well with other company systems
• Specific leadership in e-commerce, handling highly ambiguous problems, and Gen AI
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