Role OverviewAs a Senior Machine Learning Infrastructure Engineer, you'll build scalable, reliable, and high-performance infrastructure that powers ML systems across our organization. You'll operate at the scales of tens of billions of scorings, and redefine how we match hundreds of millions of users to millions of games.
What You Will Do
Design and own large-scale data engineering and streaming systems that power ML, build online and continual learning systems that let models adapt to user behavior and content shifts in near real time, and investigate model, data, and systems tradeoffs end to end.
Why It Might Be a Fit
You have 5+ years of experience designing, building, and deploying large-scale machine learning and data systems in production environments, and 3+ years of experience tech-leading ML infrastructure or data engineering teams.
Requirements
- 5+ years of experience designing, building, and deploying large-scale machine learning and data systems in production environments
- 3+ years of experience tech-leading ML infrastructure or data engineering teams
- Hands-on experience with large-scale streaming and data processing systems (e.g., Kafka, Flink, Spark, Beam) and real-time feature pipelines
- Experience building or operating online, incremental, or continual learning systems for recommendation, ranking, or search is a strong plus
- Strong communication skills and a collaborative approach to problem solving
- BS, MS, or Ph.D. in Computer Science, Engineering, or equivalent experience
Benefits
- equity compensation
- benefits as described on this page
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