What are the responsibilities and job description for the Senior Applied Science Mgr, Ads, Advertising Trust position at Amazon?
DESCRIPTION
The Senior Applied Science Manager owns the complete science mission and team for Advertising Trust. We’re a global organization that is highly matrixed and this role reports directly to the VP of Advertising Trust. Science is the core of how Advertising Trust delivers on our mission to apply policy to billions of ads. Our work is growing with nuance and challenges with the advent of LLMs, GenAI, and more. We need to both innovate with these technologies across our products and develop solutions to guide advertisers who adopt these technologies, whether through Amazon or external providers. You will lead a team of Applied Scientists to apply state of the art technologies across computer vision, LLM training and application, etc. to deliver on this mission. It requires proven ability to deliver results, high judgment, self-direction and curiosity to achieve truly world leading innovation. The role will present regularly to senior leadership, providing opportunities to gain their unique insight, and advocate for cross-organization investments for optimal decision-making. This is a fun, high energy role that will provide opportunities for growth for even the most seasoned executive.
Key job responsibilities
• You must be a highly collaborative leader who thrives on earning trust through transparency.
• You must be able to develop bold visions with highly specific roadmaps to achieve those visions.
• You must be a vocal advocate for your team and science in general and “lean in” to conversations.
• Hire and develop entire team all the way from the Principal level to new hire all elements of the Science team.
• Taking full service ownership of your teams including developing research and engineering (product roadmaps), developing and tracking relevant metrics, and ensuring system performance.
• Coaching and developing scientists to maintain standards and to drive career growth for your direct reports.
• Building a team culture around technical excellence and strong delivery.
About the team
Advertising Trust (AT) is at the center of Amazon Ads, one of Amazon’s fastest growing businesses. Every ad that flows through our Amazon systems, or is presented on one of our owned and operated sites, needs to adhere to the policies that AT creates. These policies simplify the complex regulatory, legal, regional, cultural and customer expectations in over 30 countries today. All of these ads need to be properly approved or rejected the first time and within SLA. There should be no ambiguity as to why the ad was approved or rejected from the perspective of the Advertiser or Publisher and the ad should be able to reach its optimal audience. If AT is doing a great job, the ecosystem is efficient and we can ensure a great shopper experience.
BASIC QUALIFICATIONS
• Ph.D. in Computer Science, Computer Engineering, Machine Learning, or related field
• 10 years of relevant work experience, with 5 years experience mentoring and developing science teams
• Proficient in more than one more major programming languages (C , Java, C#, C, Perl/Ruby, etc.)
PREFERRED QUALIFICATIONS
• Expert knowledge in model evaluation and performance, operationalization and scalability of scientific techniques and establishing decision strategies
• Direct industry experience applying science at scale for content moderation, including label based systems
• Ad Tech experience
• Direct experience operating in a high scaled global organization
• Recognized as a leader in area of specialty/domain
• Publication record at major conferences that shows breadth and depth
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 $196,900/year in our lowest geographic market up to $340,300/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.
Salary : $196,900 - $340,300
