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

About the role

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. You'll work on designing, building, and operating ML infrastructure and data processing pipelines that power ad relevance and sourcing at massive scale.

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

Requirements

• 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

Qualifications

• Experience programming with at least one software programming language
• Bachelor's degree in computer science or equivalent
• Experience in machine learning, data mining, information retrieval, statistics or natural language processing

Skills

• Full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

Benefits

• Not specified

Pay

• Not specified

Schedule

• Not specified