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Block
Senior Machine Learning Engineer
at Block
about 2 hours ago | 9 views | Be the first one to apply

Senior Machine Learning Engineer

Full-time
United States, North America

About the company

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.

Job Summary

You Will

📍Own and maintain mission-critical ML feature computation and serving systems that support millions of daily feature requests 📍Design and build the next-generation ML feature platform to enable faster iteration and higher-quality ML models across Block 📍Partner closely with Data Scientists, ML Modelers and Software Engineers to deliver reliable, performant, and scalable systems 📍Drive architectural decisions, system reliability improvements, and infrastructure automation 📍Mentor and guide other engineers on best practices in large-scale distributed systems, feature engineering, and ML infrastructure 📍Champion engineering excellence through code reviews, technical documentation, and continuous improvement

You Have

📍5+ years of experience in software engineering, with at least 3+ in large-scale data or ML infrastructure 📍Strong proficiency in programming languages such as Java, Python, Kotlin or Go 📍Experience building and operating distributed data systems at scale (e.g., Spark, Flink, Kafka, Databricks, Snowflake) 📍Proven ability to design for high performance, scalability, and reliability 📍Deep knowledge of cloud infrastructure (AWS, GCP) and containerized systems (Kubernetes, Docker) 📍Strong collaboration skills and ability to work cross-functionally with ML practitioners and infrastructure engineers 📍Experience mentoring junior engineers and driving technical direction on complex projects

If this role isn’t the perfect fit, there are plenty of exciting opportunities in blockchain technology, cryptocurrency startups, and remote crypto jobs to explore. Check them on our Jobs Board.

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