Principal Applied Scientist, Sponsored Products, Advertiser GenAI

Amazon; Palo Alto (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Join a dynamic team at a forward-thinking company where innovation meets advertising! As a Principal Applied Scientist, you'll leverage your expertise in AI and ML to shape the future of performance advertising. Your role will involve mentoring talented scientists, leading groundbreaking projects, and driving the development of cutting-edge GenAI solutions that enhance the shopping experience for millions. This is a unique opportunity to work in a collaborative environment that values creativity, technical excellence, and a passion for experimentation. If you're ready to make an impact in a fast-paced, evolving industry, this position is for you!

Qualifications

• 8+ years of applied AI/ML experience in deploying ML solutions.
• PhD in Computer Science or Statistics is required.

Responsibilities

• Lead AI/ML roadmaps for enhancing shopper experiences.
• Mentor applied scientists and ensure high standards in AI/ML.

Skills

Applied AI/ML experience

Leadership in ML teams

Communication skills

Research in AI/ML

Education

PhD in Computer Science

PhD in Statistics

Tools

GenAI/LLM models

ML solutions deployment

Job description

Principal Applied Scientist, Sponsored Products, Advertiser GenAI

Job ID: 2918382 | Amazon.com Services LLC

Amazon Sponsored Products is investing heavily in building a world-class advertising business and we are responsible for defining and delivering a collection of GenAI/LLM powered self-service performance advertising products that drive discovery and sales. Our products are strategically important to Amazon’s Selling Partners and key to driving their long-term growth. We deliver billions of ad impressions and clicks daily and are breaking fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit and a bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.

This position will be part of the Advertiser Growth organization within Sponsored Products. Our team focuses on launching GenAI initiatives that help advertisers create and manage performant SP campaigns. We develop AI powered experiences to help advertisers use advertising effectively and develop state-of-the-art ML based optimization services to represent our advertisers in the SP marketplace. We strive to improve the ability for advertisers to help shoppers discover relevant products on customer search, browse, and detail pages.

Key job responsibilities

1. Seek to understand in depth the Sponsored Products offering at Amazon and identify areas of opportunities to grow our business using GenAI, LLM, and ML solutions.
2. Mentor and guide the applied scientists in our organization and hold us to a high standard of technical rigor and excellence in AI/ML.
3. Design and lead organization-wide AI/ML roadmaps to help our Amazon shoppers have a delightful shopping experience while creating long-term value for our advertisers.
4. Work with our engineering partners and draw upon your experience to meet latency and other system constraints.
5. Identify untapped, high-risk technical and scientific directions, and devise new research directions that you will drive to completion and deliver.
6. Be responsible for communicating our Generative AI/ Traditional AI/ML innovations to the broader internal & external scientific community.

BASIC QUALIFICATIONS

1. PhD in Computer Science, Statistics or related field.
2. 8+ years of applied AI/ML experience in deploying ML solutions to customer-facing products.
3. 2+ years hands-on experience leading multiple ML teams to design products that satisfy a customer need.

PREFERRED QUALIFICATIONS

1. Track record of delivering large-scale and high-quality ML solutions.
2. Experience in taking on & using ML to deliver on business goals.
3. Experience in shipping GenAI/LLM models.
4. Experience partnering with engineering teams to ensure AI/ML solutions meet latency requirements.
5. Experience in influencing product strategy through product innovation and research.
6. Evidence of producing internal or external publications that motivate new lines of research.
7. Excellent verbal and written communication.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.