Amazon Advertising operates at a scale few places in the world can match, and every ad shown to a customer must meet a high bar for trust and quality. We are looking for an Applied Scientist II to advance the machine learning systems that evaluate advertising content at scale — balancing accuracy, latency, and cost so that we protect the customer experience without slowing advertisers down. You will own meaningful scientific problems end to end: framing the problem, building and validating models, and taking them to production where they make decisions on live traffic.

This is a hands-on science role with real ownership. You will work across large multilingual datasets, up-to-date ML and large language model techniques, and tight engineering constraints, partnering closely with other scientists, engineers, and product teams to turn research into measurable customer impact.

Key job responsibilities
- Design, build,



and ship ML models and systems that classify and evaluate content accurately and efficiently at scale.
- Translate ambiguous business and policy problems into well-scoped scientific problems with clear success metrics.
- Apply and adapt modern techniques — including deep learning, representation learning, and large/small language models — to production problems under real latency and cost constraints.
- Own the full model lifecycle: data, training, evaluation, deployment, monitoring, and retraining in response to drift and changing requirements.
- Define evaluation methodology and the metrics that matter (precision, recall, cost of error, latency), and defend trade-offs with evidence.
- Collaborate with engineering and product partners to integrate models into live systems, and mentor junior scientists.

📌 Applied Scientist II, Advertising Trust (Bengaluru)
🏢 ADCI - Karnataka
📍 Bengaluru