Responsibilities

• Are you excited to help customers discover the hottest and best reviewed products?
• The Discovery Tech team helps customers discover and engage with new, popular and relevant products across Amazon worldwide.
• We do this by combining technology, science, and innovation to build new customer-facing features and experiences alongside advanced tools for marketers.
• You will be responsible for creating and building critical services that automatically generate, target, and optimize Amazon’s cross-category marketing and merchandising.
• Through the enablement of intelligent marketing campaigns that leverage machine-learning models, you will help to deliver the best possible shopping experience for Amazon’s customers all over the globe.
• We are looking for analytical problem solvers who enjoy diving into data, excited about data science and statistics, can multi-task, and can credibly interface between engineering teams and business stakeholders.
• Your analytical abilities, business understanding, and technical savvy will be used to identify specific and actionable opportunities to solve existing business problems and look around corners for future opportunities.
• Your domain spans the design, development, testing, and deployment of data-driven and highly scalable machine learning solutions in product recommendation.
• As an Applied Scientist, you bring business and industry context to science and technology decisions.
• You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms.

Requirements

• PhD, or Master's degree and 1+ years of CS, CE, ML or related field experience
• Experience programming in Java, C++, Python or related language
• Experience building machine learning models or developing algorithms for business application

Preferred

• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
• Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices
• Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences

Benefits

• 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
• parental leave