Senior Staff Software Engineer, Machine Learning at Etsy
New York, New York, United States
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Summary
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Andrea Heyman is a Senior Staff Machine Learning Engineer at Etsy with 11 years of engineering experience and over seven years focused on ML for advertising. She has led the design and productionization of real-time deep learning systems at scale, pioneering Etsy’s adoption of TensorFlow Serving and shipping the company’s first real-time DNN for ad ranking and bidding. Her background combines rigorous mathematical training (PhD coursework in mathematics at Columbia) with hands-on infrastructure work—ETL, AWS, Docker/ECS, and infrastructure-as-code—to bridge research models and reliable production services. Previously she built analytics and ML pipelines at consumer e-commerce startups, delivering everything from churn prediction to marketing attribution. Known for turning prototypes into operational systems, she’s equally comfortable tuning models and owning deployment and monitoring across complex data stacks. Based in New York, she brings both technical depth and practical product focus to ML-driven advertising systems.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Arts (B.A.) Mathematics, Bachelor of Arts (B.A.) Mathematics at Northwestern University
Doctor of Philosophy (Ph.D.) Mathematics, Doctor of Philosophy (Ph.D.) Mathematics at Columbia University
Contributions:16 commits, 3 pushes, 1 branch in 4 days
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