Principal Applied Scientist, Sponsored Products, Amazon Sponsored Products

Amazon; Seattle (WA); On-site; USD 179,000 - 310,000; Full time

Job summary

Join a forward-thinking team at a leading company that is revolutionizing advertising through innovative AI and machine learning solutions. As a Principal Applied Scientist, you will play a pivotal role in shaping the future of sponsored products, leveraging your extensive experience to mentor teams and drive groundbreaking research. You will identify new opportunities for growth, design strategic ML roadmaps, and collaborate with engineering partners to enhance the shopping experience for customers. This role not only offers the chance to work on cutting-edge technology but also to influence product strategy and contribute to a diverse and inclusive workplace. Embrace this opportunity to make a significant impact in a dynamic and rapidly evolving environment.

Benefits

Equity options

Sign-on bonuses

Comprehensive medical benefits

Flexible work arrangements

Retirement savings plan

Qualifications

• 10+ years of applied ML experience in customer-facing products.
• Experience leading multiple ML teams and delivering high-quality solutions.

Responsibilities

• Identify opportunities to grow the business using AI/ML solutions.
• Mentor applied scientists and lead organization-wide ML roadmaps.
• Communicate AI/ML innovations to the scientific community.

Skills

Machine Learning

Statistical Analysis

AI Solutions Development

Mentoring

Communication Skills

Education

PhD in Computer Science

PhD in Statistics

Tools

Large-scale ML Systems

Recommender Systems

Job description

Principal Applied Scientist, Sponsored Products, Amazon Sponsored Products

Job ID: 2892427 | 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 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 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 innovative controls that help advertisers create and manage performant SP campaigns. We develop recommendations to help advertisers use these controls 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 AI/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 ML.
3. Design and lead organization-wide 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 AI/ML innovations to the broader internal & external scientific community.

BASIC QUALIFICATIONS

1. PhD in Computer Science, Statistics or related field.
2. 10+ years of applied 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.
4. Track record of delivering large-scale and high-quality ML solutions.
5. Experience in taking on & using ML to deliver on business goals.

PREFERRED QUALIFICATIONS

1. Experience in shipping large recommender systems.
2. Experience partnering with engineering teams to ensure AI/ML solutions meet latency requirements.
3. Experience in influencing product strategy through product innovation and research.
4. Evidence of producing internal or external publications that motivate new lines of research.
5. 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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit here for more information.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit here.

Posted: February 8, 2025 (Updated about 12 hours ago)