Applied Scientist, Demand Tech, Amazon Ads

Job ID: 10477594 | Amazon Development Centre (London) Limited
In Amazon Advertising, we apply machine learning at massive scale to optimize the prediction, ranking, and bidding behind every ad — deciding, in milliseconds, which ads to show shoppers and how to value them. We're looking for an Applied Scientist to help make sure the ads shoppers see are the right ones for them. You'll work across the science of how we rank, value, and bid on ads for Amazon DSP (Amazon's Demand-Side Platform) — including how we judge whether an ad is a good fit for the page a shopper is on and for the shopper themselves.
It's high-scale, low-latency, customer-facing science: your models run live in front of millions of shoppers under tight real-time constraints. The questions are genuinely open — how do you tell whether an ad is relevant to someone, how do you balance what's good for shoppers, advertisers, and Amazon, and how do you keep getting that right as shopping behavior and inventory shift underneath you? Your work will have real impact,



and you'll have room to shape where we take it.
A few things make this stand out: your models touch a huge share of the ads shoppers see every day, so even small improvements add up fast; you'll run modern ML live under strict latency limits, across regions and very different types of ad inventory; and the problem space is rich — from how we value and bid on ads, to keeping models stable as traffic shifts, to what makes an ad a good fit for a shopper.
Key job responsibilities

Design and improve the models that decide how ads are ranked, valued, and priced — including how relevant an ad is to the page and the shopper.
Apply and extend state-of-the-art techniques across e.g. ranking, deep learning, and information retrieval.
Own problems end to end: frame them, prototype, experiment, and ship them to production.
Balance competing objectives — shopper experience, advertiser and publisher value, and A

📌 Applied Scientist, Demand Tech, Amazon Ads (Madrid)
🏢 Amazon
📍 Madrid