Please complete the CAPTCHA to continue
@reddit.com
✓
2 phones found area 877
✓
LinkedIn matched
A concise factual answer block for searchers comparing this professional profile.
Terry Feng is listed as Machine Learning, Statistics & Causal Inference @ Reddit at Reddit, Inc., based in New York, United States. AeroLeads shows a work email signal at reddit.com, phone signal with area code 877, and a matched LinkedIn profile for Terry Feng.
Terry Feng previously worked as Senior Machine Learning Engineer at Reddit, Inc. and Senior Machine Learning Scientist at Reddit, Inc.. Terry Feng holds Bachelor’S Degree, Computer Science, Specialization In Intelligent Systems from Uc Irvine.
This section adds company-level context without repeating Terry Feng's masked contact details.
AeroLeads found 2 current-domain work email signals for Terry Feng. Compare company email patterns before reaching out.
Terry Feng is a Machine Learning, Statistics & Causal Inference @ Reddit at Reddit, Inc.. They possess expertise in machine learning, computer vision, java, c++, sql and 18 more skills. Colleagues describe them as "I had the pleasure of working with Terry as we founded the Data Science team at Zaplabs. He is a very intelligent engineer, a quick learner, and a dedicated worker. I would highly recommend him for a position in the Big Data space. Terry is very responsible and capable of working independently, entrusted with production systems and features, as well as learning new frameworks for introduction to the group." and "Terry is very driven and knows what he wants. He pursues with a dogma that is admirable, from his career to his personal fitness. When he wants something done, you can expect him to produce solid results."
Listed skills include Machine Learning, Computer Vision, Java, C++, and 19 others.
Company context helps verify the profile and gives searchers a useful next step.
A career timeline built from the work history available for this profile.
San Francisco, California, Us
Continuing to push the Pareto Frontier of the Conversion optimization suite of products, focusing on novel ways of modeling and bidding to maximize platform and advertiser utility
San Francisco, California, Us
Pushing the Pareto frontier of Reddit’s Ads Marketplace by combining over half a decade of domain knowledge in advertising and marketing with my expertise in AI / machine learning, statistical and causal inference, as well as auction and game theory.Led the Ads Conversions and Predictions Modeling vision and model evolution -- to GBDTs and Multi headed DNNs, model unification, feature engineering, opt-in/opt-out user modeling, HP tuning, etc. Spearheaded Conversions optimization bidding and modeling strategies framework and adding more rigor and principles to optimization.Understanding the statistical intricacies of highly valuable (conversions / purchases) long tailed, rare events data, and how to model calibrated and precise predictive models for use in auction pricing.Developed scalable experimentation, statistical and causal inference processes, tooling and frameworks to enable faster developmental velocity:- Uncovering the mysteries of Budget Aware vs Budget Unaware experiment designs to enable teams to finally understand when they can experiment without being blocked by a resource-constrained experiment design.- Developed Mix Shift corrected versions of metrics to address mix shift / Simpson's paradox and to ensure alignment with Advertiser success.- Various deep dives and adjustments into methodologies and algorithms to verify and ensure statistical validity as to uphold trustworthiness of inferences of metrics for decision makers- Developed and standardized internal launch review processes and templates for efficient launch reviews. - Introduced scalable Bayesian inference techniques to reduce false alarms in analyses and to improve statistical power.Asking important questions and illuminating paths forward. Distilling down difficult concepts and helping decision makers come to the right conclusions
San Francisco, California, Us
ML applied research, development and deployment for real time targeting and bidding at ad tech scale
San Francisco, California, Us
Statistical machine learning, R&DOptimization of real time bidding algorithmsFeature engineeringPrototype models for new productsProvide analytics for stakeholdersProjects on topics spanning: Hypothesis testing, Representation Learning, NLP, Noisy Label learning, Operations Research, Auction theory, Network-based models, etc
Emeryville, Ca, Us
Full stack end-to-end Machine Learning Engineer with focus on data science/machine learning and scalabilityVarious responsibilities including:- Setting up, configuring and optimizing Kubernetes Spark cluster and Spark jobs- Orchestrated and created ETL pipelines for data transformations/processing to create data lake which powers analytics and data features/products. Used Kafka, Airflow and Nifi - Implemented distributed statistical predictive models/pipelines for ranking and scoring- Various machine learning projects pertaining to image processing/classification, natural language processing and recommender systems.- Researched and applied techniques spanning machine learning, deep learning, semi-supervised learning, and Bayesian methods
Santa Clara, Ca, Us
- Quantified and analyzed millions of POI locations in database to find patterns in the data for information extraction and modeling- Improved information retrieval by using Natural Language Processing, Machine Learning techniques and patterns in the data to perform information and keyword extraction on POI data
Aliso Viejo, California, Us
• Developed a core analytical aggregation component for testing and debugging of Android app.• Implementation of Android applications and application functionalities and application database using SQLite• Developed an app for optimizing Android memory usage and responsiveness (True Booster)
• Designed and created interactive web pages• Handled web page form data flow that used an Entity based backend• Improved structure and flexibility of database through database schema revision
Quick answers generated from the profile data available on this page.
Terry Feng works for Reddit, Inc..
Terry Feng is listed as Machine Learning, Statistics & Causal Inference @ Reddit at Reddit, Inc..
AeroLeads has found 2 work email signals at @reddit.com for Terry Feng at Reddit, Inc..
AeroLeads has found 2 phone signal(s) with area code 877 for Terry Feng at Reddit, Inc..
Terry Feng is based in New York, United States while working with Reddit, Inc..
Terry Feng has worked for Reddit, Inc., Nextroll, Inc., Zaplabs, Telenav, and M2Catalyst, Llc.
You can use AeroLeads to view verified contact signals for Terry Feng at Reddit, Inc., including work email, phone, and LinkedIn data when available.
Terry Feng holds Bachelor’S Degree, Computer Science, Specialization In Intelligent Systems from Uc Irvine.
Terry Feng is listed with skills including Machine Learning, Computer Vision, Java, C++, Sql, Visual Studios, Eclipse, and Mercurial.
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trial Search contacts