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Tianhao Lu
Machine Learning Engineer
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Location: New York City Metropolitan AreaApprox. Years of Experience: 13
Tianhao Lu's Current Workplace
Meta
Company Size
2500+
Amount Raised
$24.6B
Meta's mission is to build the future of human connection and the technology that makes it possible. \n\nOur technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.\n\nTo help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:\n\n• Start with an open mind. Whether you agree or disagree, engage with empathy.\n• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.\n• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.\n• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.\n• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).\n\nFor a full listing of our jobs, visit https://www.metacareers.com\n
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Notable Investors
PayPal, Microsoft, General Atlantic, Accel, Peter Thiel
Mobile Apps
Social Media
Social Network
Social Media Advertising
Experience
Machine Learning Engineer
Meta · Full-time
Aug 2024 - Present
• 10 mos
LinkedIn
Mar 2019 - Aug 2024
Senior Machine Learning Engineer
Mar 2019 - Aug 2024
• 5 yrs 6 mos
- Design and implement a Lucene-based distributed company search solution for over 70 million LinkedIn company pages, with ~1K QPS and 100ms latency to serve over 12 million daily queries; retrieval and a wide-and-deep re-ranking model with 90% recall@10 and 92% precision. - Lead 3 engineers and implement end-to-end embedding-based-retrieval solution to match free text (e.g. resume, job posting) to taxonomy skill IDs. Negative sampling with pairwise-ranking two-tower architecture and leveraged FAISS for best tradeoff between precision and latency (under 50ms). - Design and maintain revenue prediction for over 31 million LinkedIn company pages, via both multi-modal data ingestion and model inference. Observed 60% user save rate lift and estimated $25M in annual ads revenue. - Served as mentor for 1 Senior Engineer, 2 Junior Engineers and 1 Summer Intern in 4 different engineering projects. - Owner of 2 patents; presented at MLADS 2022 (The Machine Learning, AI & Data Science Conference at Microsoft) Skills: PyTorch · Keras · Machine Learning · Software Development · Java
Machine Learning Engineer
Mar 2019 - Mar 2022
• 3 yrs 1 mo
Machine Learning Engineer
Dataminr
Mar 2018 - Mar 2019
• 1 yr 1 mo
- Built production ready service of realtime Twitter firehose data (~3000 tweet/sec) to extract attributes and enhance user experience - Abstractive Text Summarization on news articles to caption with 80% BLEU
Data Scientist II
MediaMath
Jul 2017 - Jan 2018
• 7 mos
Graduate Teaching Assistant
Columbia University in the City of New York
Jan 2017 - May 2017
• 5 mos
Data Scientist Intern
Synergic Partners
Jun 2016 - Aug 2016
• 3 mos
• Transformed data from different clients into the same schema; built multiple data visualization dashboards via Tableau with thousands of European users’ behavior in telecommunication to identify promotion opportunities for Synertic Partners clients
Platform Operation Analyst
Yieldbot
Jun 2014 - May 2016
• 2 yrs
• Managed 200 campaigns, allocated on top publishers for advertisement viewability and enhanced campaign efficiency from 45% to 78%. • Designed control vs test group region partition for optimal advertisement campaign test configuration.
Client Service Analyst
comScore, Inc.
Jul 2012 - Jun 2014
• 2 yrs
-Developed data visualization of recent trends in gaming to facilitate sale for Blizzard Entertainment
Education
  • 2015 - 2017
    Columbia UniversityMaster’s Degree, Data Science
  • 2008 - 2012
    University of VirginiaBachelor of Arts - BA, Economics