Chris Sciavolino is a software engineer at Jane Street with a decade of experience building robust systems at the intersection of finance, machine learning, and search. He holds an MS in Computer Science from Princeton where his thesis focused on open-domain question answering and information retrieval, and earlier earned a BS from Cornell. His background spans both research and production: from developing recommendation and two-tower sparse neural models at Facebook to building resilient data pipelines and dataset-serving frameworks at Airbnb. At Jane Street he applies that blend of ML, distributed systems, and risk-focused engineering to high-stakes FinTech problems. An experienced instructor and TA, he brings clear communication and a taste for education and audio/music-related projects alongside research-oriented roles.
10 years of coding experience
1 year of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Cornell University
High School, High School at Community School of Naples
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Princeton University
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Chris Sciavolino - Software Engineer at Jane Street