Principal Applied Scientist, Amazon Ads Management
About the Role
Amazon is building a world class advertising business and defining and delivering a collection of self-service performance advertising products that drive discovery and sales of merchandise. Our products are strategically important to our Retail and Marketplace businesses, driving long-term growth. Sponsored Ads helps merchants, retail vendors, and brand owners grows incremental sales of their products sold on Amazon through native advertising. Sponsored Ads achieves this by using a combination of machine learning, big data analytics, ultra-low latency high-volume engineering systems, and quantitative product focus. If you are looking to make an impact, this is the team for you. You will join a newly-founded team with a broad mandate to experiment and innovate, which will give you the flexibility to develop systems and services from the ground up. As a Principal Applied Scientist in FAIM, you will help build new foundational AI technologies from the ground up and create and launch features for advertisers globally. You will partner with engineers, product managers, TPMs, and senior management to help create these world-class solutions. Most importantly, you will have an opportunity to grow and broaden your technical and scientific skills as you work in an environment that thrives on creativity, experimentation, and collaboration.
Key Job Responsibilities
- Develop optimization strategies for Full-Funnel Ads Campaigns at Amazon
- Work with the leadership team on long-range AI/ML plans for Full Funnel Ads Campaigns
- Help the team adopt the latest SOTA technologies for large scale advertising
Basic Qualifications
- MS or PhD in Computer Science, Statistics or related field
- 8+ years of applied ML experience in deploying ML solutions to customer facing products
Preferred Qualifications
- Track record of delivering large-scale and high-quality ML solutions
- Experience in shipping large recommender systems
- Experience partnering with engineering teams to ensure AI/ML solutions meet latency requirements
- Experience in influencing product strategy through product innovation and research
- Evidence of producing internal or external publications that motivate new lines of research
- Excellent verbal and written communication
Pay & Compensation
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.
- USA, CA, Palo Alto - 228,700.00 - 309,400.00 USD annually
- USA, NY, New York - 218,800.00 - 295,900.00 USD annually
- USA, WA, SEATTLE - 198,900.00 - 269,000.00 USD annually