Amazon

Senior Applied Science Mgr, Ads, Advertising Trust

Posted On

July 18, 2025

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Machine Learning Science

Apply By

Aug. 5, 2025

Job Description

The Senior Applied Science Manager owns the complete science mission and team for 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 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
• Be a highly collaborative leader who thrives on earning trust through transparency.
• Develop bold visions with highly specific roadmaps to achieve those visions.
• Be a vocal advocate for your team and science in general.
• You must be up to travel occasionally for this role, including to the US to meet with key business leaders and partners.
• Excel at hiring and developing teams all the way from junior to the principal level scientists and/or managers.
• Take full service ownership of your teams including developing research and engineering (product roadmaps), developing and tracking relevant metrics, and ensuring system performance.
• Coach and develop scientists to maintain high standards and to drive career growth for your direct reports.
• Build 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.• 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 more major programming languages (C++, Java, C#, C, Perl/Ruby, etc.)
• Expert knowledge in model evaluation and performance, operationalization and scalability of scientific techniques and establishing decision strategies

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