Merakey Jobs

Description

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 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-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

• Seek to understand in depth the Sponsored Products offering at Amazon and identify areas of opportunities to grow our business using AI/ML solutions.

• Mentor and guide the applied scientists in our organization and hold us to a high standard of technical rigor and excellence in ML.

• 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.

• Work with our engineering partners and draw upon your experience to meet latency and other system constraints.

• Identify untapped, high-risk technical and scientific directions, and devise new research directions that you will drive to completion and deliver.

• Be responsible for communicating our AI/ML innovations to the broader internal & external scientific community.

Basic Qualifications

• PhD in Computer Science, Statistics or related field.

• 10+ years of applied ML experience in deploying ML solutions to customer facing products.

• 2+ years hands-on experience leading multiple ML teams to design products that satisfy a customer need.

• Track record of delivering large-scale and high-quality ML solutions.

• Experience in taking on & using ML to deliver on business goals.

Preferred Qualifications

• 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.

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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 https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.