Principal Applied Scientist

- PhD in computer science, machine learning, engineering, or related fields
- 8+ years of applied research experience
- Experience translating real business problems into state-of-art production systems at scale
- Deep expertise and familiarity with the scientific foundation and latest development
- Excellent programming skills in Python and deep learning frameworks (PyTorch, TensorFlow)
- Demonstrated leadership in building and scaling agentic AI applications in production
- A history of building and scaling world-class teams and mentoring senior ICs to achieve career breakthrough

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The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 198,900.00 - 269,000.00 USD annually
Are you passionate to join an innovative team of scientists and engineers who use machine learning and AI techniques to create state-of-the-art solutions to help seller succeed on Amazon? The Selling Partner Selection Success org is looking for a Principal Applied Scientist to lead us on our mission to provide selection success support on Amazon, and empower sellers to grow their business and provide a great customer experience.

As a Principal Applied Scientist on our team of scientists and engineers, you will have opportunities to create significant impact on our systems, our business and most importantly, our customers as we take on challenges that can revolutionize the e-commerce industry. You will identify specific and actionable opportunities to solve business problems, propose state-of-the-art solutions and collaborate with engineering, and business teams for future innovation. You need to be a great translation between ambiguous business domains and rigorous scientific solutions, an expert at inventing and simplify, and a good communicator to surface insights and recommendations to audiences of varying levels of technical sophistication.

Key job responsibilities
- Drive and advocate technical vision that drives the significant business impact
- Use machine learning and AI techniques to create scalable seller-facing solutions
- Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes
- Design, development and evaluation of highly innovative models
- Work closely with software engineering teams to drive real-time model implementations and new feature creations