Benjamin Wang
@benjaminwang
Senior AI/ML engineer specializing in recommendation systems, RAG, and production-ready personalization for streaming platforms.
What I'm looking for
I’m a Senior AI/ML Engineer who builds recommendation and discovery systems that turn signals into better experiences. At Disney Streaming, I architected personalized content discovery and drove improvements to title recommendations across homepage carousels.
I focus on end-to-end ML: from modeling and ranking to operational reliability. I engineered “Because You Watched” capabilities using collaborative filtering, embeddings, metadata, and vector similarity retrieval, and I designed cold-start pipelines for new releases to improve launch-week discovery.
I also build the infrastructure that makes modern AI usable in production. I designed RAG-ready content intelligence using semantic chunking, vector indexes, and metadata filters, then prototyped LLM-assisted catalog-enrichment workflows with structured outputs and human-in-the-loop review.
To keep systems dependable, I operationalize personalization workflows with Airflow, Docker, Kubernetes, CI/CD, and model registry patterns. I established observability through feature-drift detection, freshness checks, latency monitoring, and prediction/engagement analytics to diagnose model degradation and improve reproducibility.
Experience
Work history, roles, and key accomplishments
Senior Machine Learning Engineer
Disney Streaming
Nov 2021 - Present (4 years 9 months)
Architected Disney Streaming’s personalized content-discovery layer using machine learning for title recommendations across homepage carousels. Built recommendation pipelines and RAG-ready content intelligence infrastructure, and operationalized personalization workflows with observability and monitoring.
Senior Data Scientist
Hulu
Oct 2019 - Nov 2021 (2 years 1 month)
Owned analytics for Hulu’s homepage discovery experience to evaluate ranking, engagement, and retention impact. Built experimentation readouts and analyzed recommendation performance, cohort effects, and cold-start title discovery to guide product and merchandising decisions.
Data Scientist
Slated, Inc
Apr 2017 - Sep 2019 (2 years 5 months)
Analyzed Slated’s film-financing marketplace to identify patterns in project traction and investor behavior. Built dashboards and funnel reports, and evaluated comparable-film performance to support data-informed conversations around project packaging and financing readiness.
Education
Degrees, certifications, and relevant coursework
Claremont Graduate University
Master of Science, Financial Engineering
2015 - 2016
Completed a Master of Science in Financial Engineering at Claremont Graduate University from 2015 to 2016.
Loyola Marymount University
Bachelor of Science, Applied Mathematics
2011 - 2015
Earned a Bachelor of Science in Applied Mathematics at Loyola Marymount University from 2011 to 2015.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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