Machine Learning Engineer, Sponsored Products Off-search Sourcing and Relevance

Amazon Amazon · Big Tech · NY +1 · Software Development

Machine Learning Engineer role focused on building and operating ML models, data pipelines, and low-latency ad serving systems for personalized ad experiences on Amazon's non-Search surfaces. The role involves developing ML infrastructure, optimizing models for relevance, and integrating solutions with large-scale distributed systems, with a strong emphasis on A/B experimentation and customer impact.

What you'd actually do

  1. Design, build, and operate ML infrastructure and data processing pipelines that power ad relevance and sourcing at massive scale
  2. Develop and optimize machine learning models incorporating deep product and shopper understanding to identify relevant advertisements across non-Search surfaces
  3. Architect and build ad serving systems that solve real-world customer use cases with high volume, low latency, and strict availability requirements
  4. Integrate ML solutions with large-scale distributed systems for click-through prediction and ad auction
  5. Measure impact and customer response through rapid A/B experimentation, iterating to improve relevance and performance

Skills

Required

  • professional software development experience
  • design or architecture of new and existing systems experience
  • programming with at least one software programming language

Nice to have

  • full software development life cycle experience
  • machine learning
  • data mining
  • information retrieval
  • natural language processing

What the JD emphasized

  • massive scale
  • low latency
  • high volume
  • strict availability requirements

Other signals

  • ML models
  • large-scale data pipelines
  • low-latency ad serving systems
  • A/B experimentation
  • ML infrastructure