# Applied Science Manager, Advertising Trust at Amazon

Amazon is hiring an Applied Science Manager, Advertising Trust in Bengaluru, India. Level rates it Builds AI ●●●●; you can [apply on Amazon](https://jobsbylevel.com/go/e6f8e146-a16e-4148-9e1e-e82d3b9b6dec?utm_medium=ai-agent).

AI Level 4, AI centrality 90 out of 100. IN, KA, Bengaluru.

## Details

- Company: [Amazon](https://jobsbylevel.com/companies/amazon)
- AI level: AI Level 4 (score 90 out of 100)
- Location: IN, KA, Bengaluru
- Posted: August 11, 2026
- Apply: https://jobsbylevel.com/go/e6f8e146-a16e-4148-9e1e-e82d3b9b6dec?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=applied-science-manager-advertising-trust-at-amazon-ddcb27

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/applied-science-manager-advertising-trust-at-amazon-ddcb27

## Description

Amazon Ads delivers advertising experiences across Amazon's owned-and-operated properties and third-party networks, reaching hundreds of millions of customers worldwide. Within Amazon Ads, Advertising Trust is the science-first organization responsible for ensuring every ad shown to customers meets Amazon's content policies — at massive scale, across all ad formats and global marketplaces. The Ads Trust Science team builds the ML systems that automate content moderation decisions: multimodal classification, retrieval-based labeling, LLM reasoning, and agentic self-improvement architectures. This requires inventing new approaches at the intersection of computer vision, NLP, information retrieval, and generative AI. We are seeking an Applied Science Manager to lead a team of applied scientists building next-generation content moderation intelligence. You will own the science roadmap for one of the highest-impact automation programs in Amazon Advertising, defining how multimodal content understanding, retrieval-first classification, and LLM-based reasoning combine into a production system that serves global advertising at scale. Key job responsibilities * Lead a team of applied scientists working across multimodal ML (vision-language models, video understanding), large-scale retrieval systems (embedding-based similarity and deduplication), and generative AI (LLM-based policy reasoning, knowledge distillation, agentic architectures, reinforcement learning). * Define the science strategy for ads trust. * Own end-to-end delivery of ML solutions: problem formulation, offline experimentation, online A/B testing, and production deployment. Your models directly move automation and defect metrics reported to senior leadership. * Build and grow scientists — hire, mentor, and develop team members. Raise the science bar through structured review processes and a publication culture within Amazon. * Partner with engineering, product, and operations teams to translate science investments into measurable automation improvements. Influence roadmaps across dependent teams. * Communicate science strategy and results to senior leadership through narratives, technical deep-dives, and roadmap documents. Basic qualifications - 8+ years of applied research experience - 4+ years of scientists or machine learning engineers management experience - 4+ yrs in managing team of 5-15 members Preferred qualifications - Experience building production ML systems at Internet scale, especially involving multimodal deep learning, generative AI, or large-scale retrieval - Track record of delivering automation or classification systems with measurable business impact - Experience with content moderation, trust & safety, or policy enforcement systems - Publications in top-tier ML/AI venues (NeurIPS, ICML, CVPR, KDD, ACL, AAAI) - Experience with LLMs (fine-tuning, distillation, RLHF, prompt engineering) - Demonstrated ability to define and drive science roadmaps that influence product and business strategy 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.

Source: https://jobsbylevel.com/jobs/applied-science-manager-advertising-trust-at-amazon-ddcb27

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