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Senior Software Engineer, ML Platform Specialist
2 months ago
About Machine Learning at Block
Machine learning is a critical component of Block's daily operations and long-term success. Its usage has grown significantly over the past few years and continues to accelerate. As more teams integrate machine learning capabilities, there is a growing need to avoid duplication by providing shared capabilities.
About the Machine Learning Foundations Team
The Machine Learning Foundations (MLF) team builds scalable, composable components for machine learning use cases. We work with platform and product teams across the company to amplify their growth by solving complex problems that impact multiple business groups.
Block's machine learning community is large and rapidly evolving, making it challenging for MLF to stay ahead of diverse needs. Therefore, we focus on a narrower set of use cases to have an outsized impact on our internal customers.
About the Role
We are seeking an experienced engineer to join the MLF team. Your initial focus will be on building self-service tooling for the model lifecycle, particularly model deployments, serving, and monitoring. You will also have opportunities to work across the entire machine learning lifecycle.
As a platform engineer, you will collaborate with our internal customers to understand their needs and translate them into sustainable software solutions.
We are looking for someone with experience as a machine learning engineer or software engineer, as we operate at the intersection of these two roles. Preference is given to candidates with experience building platforms.
Key Responsibilities
• Design and build tools and systems that enhance data scientists' productivity and happiness
• Work with data science and engineering teams across Block, Cash, and Square to understand their needs and solve their problems
• Lead architectural and design discussions to ensure our platform is modular, scalable, fault-tolerant, and sustainably built
• Mentor your teammates and assist engineers on other teams who integrate with our platform
• Utilize your machine learning knowledge to provide insightful feedback
• Participate in an on-call rotation; maintain reliability standards while ensuring the team's on-call rotation is sustainable
