plaid- > plaid- Employee Directory > Jason Ting
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Jason Ting
Machine Learning Engineer
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Location: San Francisco, California, United StatesApprox. Years of Experience: 11
Jason Ting's Current Workplace
Plaid
Company Size
1001-2500
Amount Raised
$734.3M
Plaid is a data network that powers the tools millions of people rely on to live a healthier financial life. Plaid works with thousands of companies like Venmo, SoFi, and Betterment, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers more than 12,000 financial institutions across the US, Canada, UK and Europe. Headquartered in San Francisco, the company was founded in 2013 by Zach Perret and William Hockey.
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Notable Investors
Silver Lake, Andreessen Horowitz, Goldman Sachs, JP Morgan Chase, Norwest Venture Partners
FinTech
Banking
Finance
Payments
Personal Finance
Financial Services
Developer Platform
Cloud Data Services
Experience
Machine Learning Engineer
Plaid
Nov 2021 - Present
• 3 yrs 5 mos
Developed and deployed ML models to detect and mitigate payment fraud in real-time.
Software Engineer
TikTok
Sep 2020 - Oct 2021
• 1 yr 2 mos
Designed and built an auto-targeting system to suggest optimal audiences, increasing advertiser revenue, impressions, and CTR. Developed and deployed an interest/behavior-based targeting recommendation model and API. Skills: Software Infrastructure · Software Industry · Engineering · Software Design
Software Engineer
Airbnb
Aug 2019 - Jul 2020
• 1 yr
- Machine Learning Engineer for the Marketplace Intelligence Team. - Developed and productionized machine learning model for lifetime value of new Airbnb listings. - Created an entity resolution and lead generation service of a ranked list of high quality host leads.
Facebook
Jun 2015 - Jul 2019
Software Engineer
May 2018 - Jul 2019
• 1 yr 3 mos
- Machine Learning/Ranking Engineer for the Facebook Recruiting Discovery Team. - Improved recruiting efficiency through surfacing relevant candidates to recruiters with machine learning, natural language processing (NLP), and deep learning. - Prototyped and productionized deep learning model for predicting potential candidates to move jobs
Data Scientist
Jun 2015 - May 2018
• 3 yrs
Team: Facebook Live (Previously Games) -Lead strategy for production, consumption, and engagement growth for the Facebook Live team. -Created and productionized machine learning models on live user behavior to decide future features. -Conducted and analyzed A/B experiments to discover opportunities for driving product growth, major products includes live in Facebook Stories and live with a guest. -Designed and built data pipelines to define product metrics and find insights for live feat" Identified signals in user behaviors for churning in Facebook Games and developed a strategy to optimize timing and reengage players leaving the games ecosystem. -Defined metrics for analyzing the performance of beta features for playing anonymously on the games ecosystem. ures. Skills: Analytics, Experimentation, Predictive Modeling, Ranking, Big Data, Microsoft Office. Millions shared New Year’s Eve moments with friends and family on Facebook Live
Data Scientist
Quorum Analytics
Jun 2014 - Sep 2014
• 4 mos
Built predictive model to approximate the probability that existing or proposed bills and resolutions will be enacted in to law through simulating how members of Congress vote with ~88% accuracy. Estimated the likelihood that a given or proposed bill will be assigned to a particular committee.
Harvard University
Jun 2013 - Dec 2013
Teaching Fellow
Sep 2013 - Dec 2013
• 4 mos
Instructed a section of 45 students for the course: Mechanical Systems. Administered and taught laboratories sessions and graded laboratory reports.
Researcher
Jun 2013 - Sep 2013
• 4 mos
Harvard College Research Program Soft Machine Control System- Implemented an internal measurement unit attached to a microcontroller with wireless communication to automation movement process of Soft Machines.
Proctor
Harvard Summer School
Jun 2013 - Aug 2013
• 3 mos
Work with their assigned students, and provide the information, advising, discipline, and social activities required to create a hospitable academic environment. Supervise many Summer School activities.
Researcher
Harvard School of Engineering and Applied Sciences
Jun 2012 - Aug 2012
• 3 mos
Harvard Research Experience for Undergraduates Project: Light Pneumatic Actuators from Thin Polymer Sheets • Explored alternative ways to fabricate soft machines through utilizing an easily processed, commodity material—bubble wrap, to create a new class of soft machines. • Formulated and optimize a strategy to actuate bubble wrap, explored the design space and devised a range of structures for different functions.
Research Assistant Fall
Whitesides Research Group at Harvard University
Mar 2011 - Dec 2011
• 10 mos
Produced stackable sheets of paper-based discs separated by material that is hydrophobic, resistant to solvents, and impermeable to gases by applying hot embossing to the fabrication of low-cost, paper-based devices to cultivate cells.
Research Assistant
Dr. Maynard’s Research Group at University of Texas
Jun 2011 - Aug 2011
• 3 mos
Conducted lab research of site-directed insertion of unnatural amino acids into proteins. Assisted in synthesizing Fluorescein isothiocyanate-BSA protein, preparing SDS Page Gels, forming various lab reagents and media.
Education
  • 2014 - 2016
    Stanford UniversityMaster's degree, Computational Mathematical Engineer
  • 2010 - 2014
    Harvard UniversityBachelor of Science, Mechanical Engineering, Computer Science