Amazon Advertising is one of Amazon's most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. As a core product offering within our advertising portfolio, Sponsored Products and Brands (SPB) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!
The senior applied scientist in this position will focus on designing, developing, and launching innovative targeting models and campaign optimization solutions for advertisers. Our team utilizes machine learning and statistical modeling to help advertisers improve their campaign performance through data-driven insights, automated optimization, and conversational campaign builders. We build POCs and production models that enhance campaign qualities. We collaborate with various teams across the organization to advance advertising effectiveness through scientific approaches.
Key job responsibilities
- Serve as a tech lead for defining the science roadmap for multiple projects in the conversational ad experiences space powered by LLMs.
- Build POCs, optimize and deploy models into production, run experiments, perform deep dives on experiment data to gather actionable learnings and communicate them to senior leadership.
- Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production.
- Work closely with product managers to contribute to our mission, and proactively identify opportunities where generative AI can help improve customer experience.
- Research new machine learning approaches to drive continued scientific innovation
- Be a member of the Amazon-wide machine learning community, participating in internal and external meetups, hackathons and conferences.
- Help attract and recruit technical talent, mentor scientists and engineers in the team.
