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To Land a Rocket
Talks about rocket landing, Hoverslam technique and dynamic optimization
JX
Jason Xie
Lead Machine Learning Engineer at Adobe
San Francisco Bay Area
Overview
Jason Xie is a Lead Machine Learning Engineer at Adobe, with previous roles as a Senior Research Scientist at the same company and experience in software engineering at TubeMogul and Quettra. He also serves as a Board Member at Meals on Wheels of Alameda County.
Highlights of Jason's career include his leadership position at Adobe, where he drives machine learning initiatives, and his involvement in community service as a Board Member at Meals on Wheels of Alameda County.
Work Experience
Lead Machine Learning Engineer
2020 - Current
Senior Research Scientist
2017 - 2020
Patents: * P8442-US - Utilizing Machine Learning to Generate Parametric Distributions for Digital Bids in a Real Time Bidding Environment * P8961-US - Artificial Intelligence Techniques for Bid Optimization Used for Generating Dynamic Online Content
Adobe Fund for Design,a $10m fund that supports emerging companies to build products and services
Board Member
2022
Combating hunger in the Bay Area
Software Engineer
2015 - 2017
(NASDAQ: TUBE) High frequency bidding, data pipelines & distributed systems
TubeMogul is an enterprise software company for digital branding. Brands use the TubeMogul Platform to execute their global video ad spend.
Raised $136,057,047.00 from Cross Creek, Trinity Ventures, Singtel Innov8, Foundation Capital, Northgate Capital, Trinity Ventures, Northgate Capital and Foundation Capital.
Software Engineer
2014 - 2015
(NYSE: SMWB) Employee #6; Mobile analytics & recommender systems
Quettra is a mobile intelligence company focusing on personalizing mobile experiences and monetization.
Raised $2,900,000.00 from Tuesday Capital, Arjun Sethi, Sungy Mobile, Miramar Ventures, Anna Patterson, SV Angel, DCVC, Anthony Ha, Google Ventures and Horizons Ventures.
Graduate Student Instructor
2013 - 2014
Statistics, Control Theory