Jay Franck
Machine Learning Engineer at Dropbox
United States
Summary
👤
Senior🎓
Top SchoolJay Franck is a Machine Learning Engineer with 9 years of experience deploying ML models into real-time production systems at scale, most recently improving PlayStation-facing systems and now building search relevancy and retrieval at Dropbox. He specializes in productionizing ranking and RAG systems—designing LambdaMART and TensorFlow Ranking models, optimizing endpoint latency, and expanding recall through query augmentation and vector-based retrieval. Jay pairs a deep research foundation (PhD in Astrophysics) with pragmatic engineering: he has migrated ETL pipelines to BigQuery/PySpark, tuned Solr boosts, and created realistic evaluation frameworks for LLM-integrated products. Known for squeezing both latency and accuracy gains, he blends model-level innovation with operational improvements like autoscaling and feature pruning to serve millions of users.
9 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Astrophysics, Doctor of Philosophy (Ph.D.), Astrophysics at Case Western Reserve UniversityM.S., Astrophysics, M.S., Astrophysics at San Diego State UniversityB.S., Astrophysics, B.S., Astrophysics at Michigan State UniversityMacquarie University
python, sql, solidity
Stackoverflow
344reputation
106kreached
5answers
0questions
Github Skills (81)
matrix9
scikit9
part-of-speech-tagger9
recommender9
language-detection9
compression9
factorization9
svd9
sentiment-analysis8
autoencoder8
pyspark8
entity-extraction8
bert8
machine-learning8
mixture-of-experts8
Programming languages (8)
Github contributions (5)
franckjay/GoodReadsGraph
Oct 2019 - Feb 2022
Build a Graph Database of Good Reads book data to recommend novel novels to users
Contributions:15 commits, 1 PR, 13 pushes in 2 years 3 months
graph-database
franckjay/franckjay.github.io
Nov 2019 - Mar 2024
Contributions:1 review, 9 PRs, 15 pushes in 4 years 5 months
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