Applied Science Manager, Advertising Trust

* 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) - Demonstrate

Amazon is a global technology company operating in e-commerce, cloud computing (AWS), digital streaming, advertising and artificial intelligence. Its India operations span development centres in Bengaluru, Hyderabad, Chennai, Pune, Gurugram and Mumbai, covering retail technology, AWS infrastructure, Alexa, advertising, payments and supply-chain systems.