Real-Time ML Scientist, Ad Ranking & Bidding

Amazon; Greater London; Hybrid; GBP 100,000 - 140,000; Full time

Job summary

Amazon Advertising is applying machine learning at massive scale to optimize ad prediction, ranking, and bidding for the DSP. We seek an Applied Scientist to ensure ads shown are right for shoppers, balancing shopper experience with advertiser and Amazon value in real time.

You will design models for ranking and valuation, extend state-of-the-art techniques, own projects end-to-end, and ship production code with strong engineering support, across regions and diverse ad inventories.

Qualifications

• Experience in patents or publications at top-tier peer-reviewed conferences or journals.
• Experience programming in Java, C++, Python or related language.
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.
• PhD or a Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field.

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 Amazon's business — into models that hold up across placements and marketplaces.
• Communicate your work clearly to both business and science audiences, tailoring how you share it to each.
• Write and ship your own production code backed by strong engineering support — we're all builders here.
• Move fast with the best tools available, including modern AI coding assistants and agents.

Skills

Patents

Publications

Java

C++

Python

Algorithms

Data mining

Numerical optimization

Parallel computing

Education

PhD or MSc in a quantitative field

Job description

Amazon Advertising is applying machine learning at massive scale to optimize ad prediction, ranking, and bidding for the DSP. We seek an Applied Scientist to ensure ads shown are right for shoppers, balancing shopper experience with advertiser and Amazon value in real time.

You will design models for ranking and valuation, extend state-of-the-art techniques, own projects end-to-end, and ship production code with strong engineering support, across regions and diverse ad inventories.