Applied Scientist, Sales AI

Amazon • Sunnyvale, CA

1d • Onsite

About The Position

Amazon Advertising is a rapidly growing and highly profitable sector within Amazon, focused on developing and delivering advertising products that enhance product discovery and sales. We are establishing a central AI/ML team within the Advertising Sales organization and are looking for skilled scientists to create new, science-driven services. Our objective is to revolutionize account team operations by providing actionable insights and recommendations, and by integrating Generative AI into their workflows to boost efficiency. The role involves leveraging expertise in Generative AI and quantitative modeling (including forecasting, recommender systems, reinforcement learning, causal inference, and generative AI) to build and refine production-ready models. You will be instrumental in advancing our ad sales support technologies and will need strong communication skills to convey complex technical concepts to diverse stakeholders and customers. You will collaborate with fellow scientists and engineers, employing iterative approaches to address significant, long-term challenges.

Requirements

• 3+ years of building models for business application experience
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Nice To Haves

• Experience using Unix/Linux
• Experience in professional software development

Responsibilities

• Conceptualize and lead state-of-the-art research on new Machine Learning and Generative Artificial Intelligence solutions to optimize all aspects of the Ad Sales business
• Guide the technical approach for the design and implementation of successful models and algorithms in support of expert cross-functional teams delivering on demanding projects
• Conduct deep data analysis to derive insights to the business, and identify gaps and new opportunities
• Run regular A/B experiments, gather data, and perform statistical analysis
• Work closely with software engineers to deliver end-to-end solutions into production
• Improve the scalability, efficiency and automation of large-scale data analytics, model training, deployment and serving

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
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior