Jesse Steinweg-woods is a Staff Machine Learning Engineer with 11 years of experience building production recommender and search systems at scale, currently leading ML efforts at Change.org. He has a strong track record at PayPal and Honey integrating semantic search, large-scale product categorization, and automated retraining pipelines that serve tens of millions of items and users. Jesse blends deep applied ML (two-tower embeddings, CNNs on 70M product images, CLIP fine-tuning) with reliable MLOps—Airflow, Kubeflow, Dataflow, BigQuery—delivering measurable gains like an 8% CTR lift and 95% categorization accuracy. His background in atmospheric science (Ph.D.) and crossover training in energy/finance gives him a quantitative, systems-oriented approach to messy real-world data. He’s particularly skilled at simplifying complexity—reducing code paths while adding semantic matching—and automating full lifecycle model retraining and validation. Based in Monterey Park, CA, he focuses on search/recsys/categorization problems that scale.
11 years of coding experience
8 years of employment as a software developer
Master of Science (M.S.) Atmospheric Science, Master of Science (M.S.) Atmospheric Science at Colorado State University
Bachelor of Science (B.S.) Energy Business and Finance, Bachelor of Science (B.S.) Energy Business and Finance at Penn State University
Doctor of Philosophy (Ph.D.) Atmospheric Science, Doctor of Philosophy (Ph.D.) Atmospheric Science at Texas A&M University
Contributions:9 commits, 8 pushes, 1 branch in 2 years 9 months
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Jesse Steinweg-woods - Staff Machine Learning Engineer at Change.org