Hello, I'm

Weifeng Cui

Engineering Leader · AI & ML Systems

Engineering leader with extensive experience at Meta, Google, and Amazon, specializing in AI, ML Models, Ads Ranking, and Infrastructure. Proven track record designing and scaling advanced AI solutions that tackle real-world challenges.

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Work Experience

Meta

Engineering Manager

August 2020 – Present

Monetization Ranking AI
  • Led a 20+ member team driving ML efficiency and robustness within Meta's Monetization Ranking AI and Ads Personalization systems, optimizing large-scale Transformer-based recommendation models.
  • Spearheaded state-of-the-art innovations in data efficiency modeling and infrastructure optimization, improving training efficiency, model compression, and inference speed across Meta's massive-scale ad-serving pipelines.
  • Addressed company-wide challenges in privacy and regulatory compliance, leading the migration and rebuild of large-scale ad ranking systems to ensure compliance while maintaining performance.
  • Delivered >0.5% revenue increase, saved hundreds of millions in capacity cost, and mitigated hundreds of millions in revenue loss.

Google

Software Engineer

February 2018 – August 2020

Google Shopping Ads
  • Tech-led engineering teams and worked cross-functionally to launch Google Shopping in France, scaling the platform to support millions of daily users.
  • Designed and built the first version of Google Shopping Deals, enhancing product discovery, search relevance, and ranking models for personalized shopping experiences.
  • Optimized large-scale search retrieval and indexing infrastructure, improving taxonomy prediction, query understanding, and relevance ranking for billions of product queries.
  • Developed gRPC-based services to power real-time online promotion serving and redemption, ensuring high availability and scalability across Google's global commerce platform.
  • Built a strongly consistent, highly available data store on Google Spanner for merchant-sponsored promotions at web scale.
  • Implemented large-scale batch pipelines for processing and distributing promotional data across Google's commerce ecosystem and advertiser networks.

Amazon

Software Engineer

October 2015 – February 2018

Amazon Ads ML Platform
  • Designed and built a scalable feature engineering platform to support ML feature authoring, exploration, and extraction, enabling data scientists to efficiently develop and deploy new ML features.
  • Developed distributed pipelines for large-scale feature generation, model training, and testing, optimizing ad ranking models and predictive modeling workflows.
  • Led the development of Sponsored Products' first-generation eCTR (expected Click-Through Rate) model, driving a $100M+ revenue increase by improving ad ranking predictions.

Education & Certifications

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Carnegie Mellon University

M.S. Computer Science

August 2015
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Beijing Jiaotong University

B.S. Management Information System

July 2013
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Deep Learning Specialization

Deeplearning.ai

March 2024
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Deep Learning

Carnegie Mellon University

July 2023

Get in Touch

I'm always open to interesting conversations and opportunities.

in linkedin.com/in/weifengcui