Full-Time Senior Software Engineer

About the role

We are looking for an experienced engineer to join MLF. While your initial focus will be 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 work with our internal customers to understand their needs and translate them into sustainable software solutions.

We are looking for someone who has experience as a machine learning engineer or a software engineer, as we operate at the intersection of those two roles. We prefer candidates who also have experience building platforms. Beyond that:

You will

• Design and build tools and systems that make data scientists happier and more productive
• 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
• Use your machine learning knowledge by providing insightful feedback
• Participate in an oncall rotation; maintain reliability standards while ensuring the team's oncall rotation is sustainable

You have

• 8+ years of combined experience in software engineering and machine learning engineering
• 1+ years of experience with the ML lifecycle, such as feature engineering, model training, etc.
• Strong technical judgment and meaningful experience handling complex technical concepts
• Experience with large-scale distributed systems built around ML
• A track record of healthy collaboration with product managers, engineers, and other stakeholders
• Preferred: experience building machine learning platforms or infrastructure