Weifeng Cui

Engineering Manager

United States10 yrs 7 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Led a 20+ engineer team at Meta.
  • Developed large-scale AI solutions for monetization.
  • Built ML pipelines for Amazon's advertising products.
Stackforce AI infers this person is a Machine Learning and Ad Tech expert with extensive experience in large-scale systems.

Contact

LinkedIn

Skills

Core Skills

Machine LearningAi EngineeringSoftware EngineeringSearch TechnologyDistributed SystemsData Engineering

Other Skills

AI/ML innovationsAI scalabilityAI efficiencyAI reliabilitylarge-scale pretrainingfine-tuningLLMsShopping Search/Serving stackindex buildingquery understandingsearch rankingretrievalGoogle App FrameworkgRPCdistributed transactional database

About

~10 years Ads, Big Data and Machine Learning experience in Meta, Google and Amazon.

Experience

10 yrs 7 mos
Total Experience
3 yrs 6 mos
Average Tenure
5 yrs 9 mos
Current Experience

Meta

Engineering Manager

Aug 2020 – Present · 5 yrs 9 mos

  • Monetization Ranking AI
  • Our mission is to continuously bring cutting-edge AI/ML innovations into Meta’s Monetization products, powering over 98% of the company’s total revenue. I lead a 20+ engineer team (spanning ML and Infrastructure) focused on advancing AI scalability, efficiency, and reliability across Meta’s monetization ecosystem. Our recent efforts include large-scale pretraining, fine-tuning, and leveraging LLMs to push the frontier of intelligent monetization.
AI/ML innovationsAI scalabilityAI efficiencyAI reliabilitylarge-scale pretrainingfine-tuning+3

Google

Software Engineer

Feb 2018 – Aug 2020 · 2 yrs 6 mos · Mountain View, California, United States

  • Google Shopping Ads
  • Worked on Shopping Search/Serving stack based on Muppet and Scaffolding framework.
  • Worked on index building, query understanding, search ranking and retrieval.
  • Dealt with billions of product documents indexing and serving.
  • Google Express
  • Worked on Promotion Server based on Google App Framework and gRPC.
  • Worked on distributed transactional database F1 and Spanner.
  • Built Pub-Sub pattern messaging service based on Google Pub/Sub.
  • Worked on offline pipeline processing use Google Flume.
Shopping Search/Serving stackindex buildingquery understandingsearch rankingretrievalGoogle App Framework+6

Amazon/a9.com

Software Development Engineer

Oct 2015 – Feb 2018 · 2 yrs 4 mos

  • Amazon Sponsored Products(Ads)
  • Worked in CTR team, provided pCTR model for Amazon Sponsored Products
  • Built ML pipeline using Spark / Spark ML from scratch
  • Built in-house Spark/Hadoop Data Science Platform (> 10 PB)
  • Created ETL pipelines processing Amazon search and ads logs.
CTR modelML pipelineSparkSpark MLSpark/Hadoop Data Science PlatformETL pipelines+2

Education

Carnegie Mellon University

Master of Science (M.S.) — Computer Science

Jan 2014 – Jan 2015

Beijing Jiaotong University

Bachelor's degree

Jan 2009 – Jan 2013

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