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The role involves collaborating with the Machine Learning Features team within the Block platform. This team is responsible for developing and maintaining systems that compute and serve millions of ML features daily, powering ML models across Block.
Key Responsibilities:- Maintain and develop mission-critical ML feature computation and serving systems supporting millions of daily feature requests.
- Design and build next-generation ML feature platforms to enable faster iteration and higher-quality ML models across Block.
- Partner with Data Scientists, ML Modelers, and Software Engineers to deliver reliable, performant, and scalable systems.
- Drive architectural decisions, system reliability improvements, and infrastructure automation.
- Guide other engineers on best practices in large-scale distributed systems, feature engineering, and ML infrastructure.
- Promote engineering excellence through code reviews, technical documentation, and continuous improvement.
