Principal Applied Scientist, Amazon Ads Management

Principal Applied Scientist, Amazon Ads Management
Job ID: 10455948 | Amazon.com Services LLC

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 grow 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 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 shipping large recommender systems

Experience partnering with engineering teams to ensure AI/ML solutions meet latency requirements

Experience 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

Compensation and Benefits

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

Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and optional 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 .

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.

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