Full Job Description
Build the machine learning models and infrastructure that deliver relevant, personalized ad experiences across non-Search surfaces on Amazon.com - from product detail pages to the homepage - incorporating deep product and shopper understanding to identify the most useful advertisements for hundreds of millions of customers. You'll drive ML innovation at Amazon Ads scale with direct, measurable customer impact.
The Off-Search Sourcing and Relevance team within Sponsored Products develops state-of-the-art ML models, large-scale data pipelines, and low-latency ad serving systems that power discovery beyond Search. We conduct rapid A/B experimentation to ensure we surface the most relevant ads to downstream systems for click-through prediction and auction. You'll work with Product Managers and Scientists to solve complex problems at scale - building ML infrastructure, driving product initiatives, and launching solutions in one of Amazon's fastest growing and most profitable businesses.
Key job responsibilities
- Design, build, and operate ML infrastructure and data processing pipelines that power ad relevance and sourcing at massive scale
- Develop and optimize machine learning models incorporating deep product and shopper understanding to identify relevant advertisements across non-Search surfaces
- Architect and build ad serving systems that solve real-world customer use cases with high volume, low latency, and strict availability requirements
- Integrate ML solutions with large-scale distributed systems for click-through prediction and ad auction
- Measure impact and customer response through rapid A/B experimentation, iterating to improve relevance and performance
- Collaborate with Product Managers and Scientists to translate complex business problems into scalable ML-driven solutions
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing
