Matthew Schofield

About Matthew Schofield

As a Staff Machine Learning Engineer at AppFolio, I actively design, build, and optimize our end-to-end distributed ML systems, enhancing our PropTech/Property Management SaaS offerings. My work focuses on developing ML applications, tooling, infrastructure, and integrations that significantly improve performance, experimentation, availability, throughput, and latency across multiple product features. Holding a Master of Science in Computer Science from Rowan University, my thesis on Reinforcement Learning fueled my passion for optimizing and automating end-to-end ML workflows. I am committed to crafting impactful and scalable ML solutions that deliver substantial value to users.

Experience

1. Staff Machine Learning Engineer

   AppFolio

   Mar 2025 — Present

   Building an end-to-end ML systems complete with specialized tooling, infrastructure, and integrations. With a focus on supporting a variety of product features that are based on GenAI (LLMs), computer vision, and recommendation systems.Built and optimized both real-time and batch inference infrastructure to enhance experimentation, availability, throughput, and reduce latency. Accomplished by leveraging CI tools, monitoring services, AWS technologies and inference techniques to ensure performance.Built and optimized training infrastructure to support a wide variety of models.

Education

• Rowan University

  Master of Science - MS, Computer Science

  2020 — 2021

• Rowan University

  Bachelor of Science - BS, Computer Science

  2017 — 2021