Andrew Ho Email & Phone Number
@fb.com
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Who is Andrew Ho? Overview
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Andrew Ho is listed as Machine Learning at Meta at Meta, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at fb.com and a matched LinkedIn profile for Andrew Ho.
Andrew Ho previously worked as Staff Machine Learning Engineer at Meta and Senior Machine Learning Engineer at Meta. Andrew Ho holds Doctor Of Philosophy (Phd), Electrical And Computer Engineering from The University Of British Columbia.
Email format at Meta
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AeroLeads found 1 current-domain work email signal for Andrew Ho. Compare company email patterns before reaching out.
About Andrew Ho
Engineering PhD (EECE), currently at Meta with industry experience across the ML spectrum: machine learning and deployment at scale, big data, deep learning, ranking and recommendations, constrained optimization, numerical simulation, statistics. Strong programmer with experience writing performant code in Python, Java, C++.
Listed skills include Java, Computational Physics, Linux, Computational Fluid Dynamics, and 11 others.
Andrew Ho's current company
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Andrew Ho work experience
A career timeline built from the work history available for this profile.
Senior Machine Learning Engineer
AI Infra - Content Understanding- Our team trains and deploys the latest foundational models in Computer Vision Video at Meta scale- We provide embeddings to ranking and integrity teams to deliver improvements to their key metrics- We platformize our tooling to support scaling up the number of developers, models, size of models, and training data
Senior Applied Scientist
Marketplace Matching (Rides, UberX)- improved the speed of solver replay tooling by 100x, leading to greatly increased iteration speed- developed a new ML ranking model for Scheduled Rides product- created a Monte Carlo method for evaluating UberX simulation accuracy- experimented with changes to bipartite matching objective function- maintained predictive ML models for rider and driver behaviour, and pre-request ETA
Data Scientist (Machine Learning Engineer)
Shop Recs- Prototype to Production: lead developer and scientist on "Categories" clothing recs/ranking pipeline- Recommender ranker model improvements, drove lifts of 9% in revenue, 15% in purchasesOps Algos- Owner of client scheduling algorithm service, 1.5% lift in new client checkouts- Developed a new bid-price algorithm to prioritize types of clients- 100x speedup in simulation tooling, porting Python to C++- Developed a distributed Monte Carlo simulator for request-to-fulfillment pipelineTooling:Python, C++, Pyspark, Pyomo, Cplex, SimPy, AWS
Java Developer
Server-side Java development, data warehousing.Tooling: Java, Spring, Couchbase, MySQL, ElasticSearch
Video Algorithms Intern
- Video algorithms for semiconductor applications (HDTV ASICs) - Supported algorithms like frame-rate upsampling (e.g. 120Hz)- Developed software to support algorithms team (C++)
Andrew Ho education
Doctor Of Philosophy (Phd), Electrical And Computer Engineering
Mesc, Biomedical Engineering
Besc, Electrical Engineering
Frequently asked questions about Andrew Ho
Quick answers generated from the profile data available on this page.
What company does Andrew Ho work for?
Andrew Ho works for Meta.
What is Andrew Ho's role at Meta?
Andrew Ho is listed as Machine Learning at Meta at Meta.
What is Andrew Ho's email address?
AeroLeads has found 1 work email signal at @fb.com for Andrew Ho at Meta.
Where is Andrew Ho based?
Andrew Ho is based in San Francisco Bay Area, United States while working with Meta.
What companies has Andrew Ho worked for?
Andrew Ho has worked for Meta, Uber, Stitch Fix, Playgon Interactive Inc., and Gennum Corp.
How can I contact Andrew Ho?
You can use AeroLeads to view verified contact signals for Andrew Ho at Meta, including work email, phone, and LinkedIn data when available.
What schools did Andrew Ho attend?
Andrew Ho holds Doctor Of Philosophy (Phd), Electrical And Computer Engineering from The University Of British Columbia.
What skills is Andrew Ho known for?
Andrew Ho is listed with skills including Java, Computational Physics, Linux, Computational Fluid Dynamics, Git, Object Oriented Programming, Python, and Debian.
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