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Frank Yang Email & Phone Number

VP of Machine Learning at Upwork at Upwork
Location: San Francisco Bay Area, United States, United States 11 work roles 3 schools
1 work email found @uber.com 2 phones found area 415 LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 2 phones

Work email f****@uber.com
Direct phone (415) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
VP of Machine Learning at Upwork
Location
San Francisco Bay Area, United States, United States

Who is Frank Yang? Overview

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Quick answer

Frank Yang is listed as VP of Machine Learning at Upwork at Upwork, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at uber.com, phone signal with area code 415, and a matched LinkedIn profile for Frank Yang.

Frank Yang previously worked as VP of Engineering, Machine Learning at Upwork and Director Of Engineering at Uber. Frank Yang holds Ph.D., Intelligent Transportation Systems from University Of Wisconsin-Madison.

Company email context

Email format at Upwork

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{first}.{last}@uber.com
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AeroLeads found 1 current-domain work email signal for Frank Yang. Compare company email patterns before reaching out.

Profile bio

About Frank Yang

Note - this section below is enhanced by LinkedIn AI Assistant. As the Director of Engineering of Search, Recommendations and Personalization at UberEats, I lead several teams that work on cutting-edge machine learning and artificial intelligence solutions for feed relevance, recommendation systems, search relevance, semantic retrieval, query/document understanding, checkout recommendation, multi-objective optimization, multi-tasking deep learning, natural language processing, and more. Our mission is to support the hyper growth of Uber's multi-vertical delivery business, such as Eats, Grocery, Alcohol, Prescription, and others, by providing a more efficient and personalized three-sided delivery marketplace and a more data-driven business strategy.I have over 15 years of experience in applying state-of-the-art machine learning and artificial intelligence technology to solve challenging large-scale real-world problems across various domains, such as transportation, e-commerce, social media, and hospitality. I am passionate about building high-performance engineering teams, architecting scalable and reliable technical solutions, and delivering delightful customer experiences. I have successfully led and shipped several end-to-end products that have had a significant impact on millions of users and generated substantial business value. I am always eager to learn new skills, explore new opportunities, and collaborate with diverse and talented people.

Listed skills include Information Retrieval, Distributed Systems, Linux, Algorithms, and 16 others.

Current workplace

Frank Yang's current company

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Upwork
Upwork
VP of Machine Learning at Upwork
AeroLeads page
11 roles

Frank Yang work experience

A career timeline built from the work history available for this profile.

Vp Of Engineering, Machine Learning

Current

San Francisco, California, US

Upwork's mission is to create economic opportunities so people have better lives. As a result, we’ve become the world’s work marketplace where every day businesses of all sizes and independent talent from around the globe meet here to accomplish incredible things.I am supporting Search, Discovery, Personalization, Ads, and Trust & Safety at Upwork.

Jun 2024 - Present

Director Of Engineering

San Francisco, California, US

Engineering lead of Search, Recommendations and Personalization at UberEats.Build and grow high-performance engineering teams to empower a personalized and delightful customer experience across many product surfaces (Feed/Search/Storefront/Checkout) on UberEats, deliver significant business and engineering impact, design a reliable, efficient, and.

Mar 2021 - May 2024

Vp Of Applied Machine Learning

San Francisco, California, US

Postmates was acquired by Uber.Reported to the Co-founder and CTO. Built the Applied Machine Learning team comprised of both ML Data Scientists and Engineers from ground up. Led the company’s strategy and roadmap of building an intelligent decision engine for a more efficient and personalized three-sided delivery marketplace and transforming the company to.

Aug 2019 - Mar 2021

Engineering Lead Of Machine Learning At Marketplace Dynamics

San Francisco, CA, US

Led two world-class engineering teams to build business-critical end-to-end machine learning based dynamic pricing systems as well as marketplace dynamics data platform.Supported the Pricing Modeling team to launch many ML-based dynamic pricing strategies in production, which significantly increased nights booked, booking value and host revenue.Founded the.

Apr 2017 - Aug 2019

Head Of Intelligence Platform

Global, CN

Grew the team from 3 senior managers to 6 directors/senior managers and from 40+ to 100+ machine learning engineers, data scientists, backend/frontend engineers and product managers to build Didi's next-gen machine learning models and infrastructure, feature store, user profiling, experimentation platform, as well as the batch and real-time big data.

Aug 2015 - Apr 2017

Engineering Manager, Machine Learning

Sunnyvale, CA, US

Managed a brilliant team of data scientists and engineers to classify, inference and extract entities in the LinkedIn Economic Graph. Built online Samza streaming and offline Hadoop machine learning pipelines to classify and inference entities. Trained the large-scaled Logistic Regression classifiers with ADMM in Hadoop. The normalized and inferred.

Nov 2014 - Aug 2015

Senior Architect | Tech Lead

Bentonville, Arkansas, US

Led a 10+ person team developing Walmart's 1st end-to-end Product Categorization Services (PCS), automatic product classification, and automatic product attribute extraction and normalization from scratch. Built the next-gen product knowledge graph. Integrating the Maximum Entropy model and rule-based extractors to extract key product attributes from.

Oct 2011 - Nov 2014

Founder And Ceo

Tano Technology

Next-gen large-scale machine learning pipelines and cloud computing infrastructure

Jan 2010 - Sep 2011

Assistant Professor

New York, NY, US

Research Interest: Transportation Networking Analysis and Optimization, Machine Learning, Data Mining, Intelligent Transportation Systems, etc.- Developed the network-based travel time and origin-destination estimates based on incomplete traffic sensor data.- Modeled the traveler’s dynamic adjustment process to the online traffic information. Proposed.

Sep 2007 - Dec 2009

Research Scientist, Transportation And Logistics

Redlands, CA, US

Developed efficient combinatorial optimization (Tabu search) algorithm to solve large-scale online vehicle scheduling and allocation problems. For instance, provided dynamic online real-time fleeting scheduling solution for Orkin's day-to-day nationwide operations - over 400 branches, 3,000 technicians, and 1.6 million customers.

Jan 2005 - Jul 2007

Adjunct Professor

Los Angeles, CA, US

Developed and taught a graduate level course in Transportation Network Modeling and Optimization.

Jan 2006 - Dec 2006
3 education records

Frank Yang education

Ph.D., Intelligent Transportation Systems

University Of Wisconsin-Madison

Ms, Computer Science

University Of Wisconsin-Madison

Bachelor Of Engineering (Be)

Tsinghua University
FAQ

Frequently asked questions about Frank Yang

Quick answers generated from the profile data available on this page.

What company does Frank Yang work for?

Frank Yang works for Upwork.

What is Frank Yang's role at Upwork?

Frank Yang is listed as VP of Machine Learning at Upwork at Upwork.

What is Frank Yang's email address?

AeroLeads has found 1 work email signal at @uber.com for Frank Yang at Upwork.

What is Frank Yang's phone number?

AeroLeads has found 2 phone signal(s) with area code 415 for Frank Yang at Upwork.

Where is Frank Yang based?

Frank Yang is based in San Francisco Bay Area, United States, United States while working with Upwork.

What companies has Frank Yang worked for?

Frank Yang has worked for Upwork, Uber, Postmates By Uber, Airbnb, and Didi.

How can I contact Frank Yang?

You can use AeroLeads to view verified contact signals for Frank Yang at Upwork, including work email, phone, and LinkedIn data when available.

What schools did Frank Yang attend?

Frank Yang holds Ph.D., Intelligent Transportation Systems from University Of Wisconsin-Madison.

What skills is Frank Yang known for?

Frank Yang is listed with skills including Information Retrieval, Distributed Systems, Linux, Algorithms, Hadoop, Natural Language Processing, Artificial Intelligence, and Java.

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