Zoë Farmer is a Staff Machine Learning Engineer with 11 years of experience building production ML systems that prioritize accuracy, resilience, and scale. She has shipped diverse solutions at Square and Block—ranging from LightGBM ranking and PyTorch/Keras web traffic models to Isolation Forests for hardware anomaly detection—while championing CI/CD, code quality, and tooling for safe, fast iteration. Trained in Applied Mathematics at CU Boulder, her early research on soliton gas simulations (presented at SIAM) informs a data-first, uncertainty-aware approach to modeling. She excels at the full stack of ML work—from EDA and feature engineering through deployment and monitoring—and is increasingly focused on LLMs, RAG, and agentic AI. Notably, she pairs technical rigor with a talent for designing interpretable visualizations and framing problems so teams can act confidently on complex model outputs.
11 years of coding experience
11 years of employment as a software developer
Bachelor's degree, Applied Mathematics, Bachelor's degree, Applied Mathematics at University of Colorado Boulder
Contributions:17 commits, 4 PRs, 14 pushes in 15 days
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Zoë Farmer - Staff Machine Learning Engineer at Block