Amazon
Senior Applied Science Mgr, Ads, Advertising Trust
Amazon, Indiana, Pennsylvania, us, 15705
Senior Applied Science Mgr, Ads, Advertising Trust
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 not just at the core of what Advertising Trust does, but it’s essential. We have one of the largest and most highly complex yet important missions and the work is not going away; instead, it’s growing with nuance and challenges with the advent of GenAI, et. al. You will apply state-of-the-art technologies across computer vision, LLM training and application, etc. to deliver on this mission. It requires 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.You must be up to travel frequently for this role, including to the US to meet with key business leaders and partners.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.Publication record at major conferences that shows breadth and depth.Proficient in more than one major programming language (C++, Java, C#, C, Perl/Ruby, etc.).Expert knowledge in model evaluation and performance, operationalization and scalability of scientific techniques, and establishing decision strategies.PREFERRED QUALIFICATIONS
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.Posted:
June 17, 2024 (Updated 2 days ago)Posted:
June 12, 2024 (Updated 2 days ago)Posted:
June 26, 2024 (Updated 3 days ago)Posted:
June 21, 2024 (Updated 3 days ago)Posted:
May 28, 2024 (Updated 5 days ago)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.
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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 not just at the core of what Advertising Trust does, but it’s essential. We have one of the largest and most highly complex yet important missions and the work is not going away; instead, it’s growing with nuance and challenges with the advent of GenAI, et. al. You will apply state-of-the-art technologies across computer vision, LLM training and application, etc. to deliver on this mission. It requires 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.You must be up to travel frequently for this role, including to the US to meet with key business leaders and partners.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.Publication record at major conferences that shows breadth and depth.Proficient in more than one major programming language (C++, Java, C#, C, Perl/Ruby, etc.).Expert knowledge in model evaluation and performance, operationalization and scalability of scientific techniques, and establishing decision strategies.PREFERRED QUALIFICATIONS
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.Posted:
June 17, 2024 (Updated 2 days ago)Posted:
June 12, 2024 (Updated 2 days ago)Posted:
June 26, 2024 (Updated 3 days ago)Posted:
June 21, 2024 (Updated 3 days ago)Posted:
May 28, 2024 (Updated 5 days ago)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.
#J-18808-Ljbffr