Senior Machine Learning Engineer

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.

The Role

We are looking for a Senior Machine Learning Engineer to join the Machine Learning Features team within Block's Machine Learning Platform. This team is responsible for developing and maintaining the systems that compute and serve millions of ML features every day, powering Machine Learning models across Block.

As a senior engineer, you will help scale our high-demand ML feature pipelines and services to meet the needs of teams across Cash App, Square, Afterpay, and more. You will also contribute to the design and development of a groundbreaking new ML feature system, aimed at redefining how Machine Learning features are computed and delivered at scale.

At Block, you'll be part of a collaborative, forward-thinking team that is shaping the future of Machine Learning infrastructure. The systems you build will directly empower ML teams across multiple business units, impacting millions of users worldwide. If you're excited about working at the intersection of large-scale distributed systems and Machine Learning, we'd love to hear from you.

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

Nice to have

• Familiarity with ML workflows, platforms, and systems
• Experience building or maintaining ML batch or real-time feature systems
• Background in MLOps, experimentation platforms, or ML observability

 

We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to identity or other legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process.

 

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information. 

 

Zone A:$189,000—$283,600 USDZone B: $179,600—$269,400 USDZone C:$170,100—$255,100 USDZone D: