L

Liam Xu

VP of Engineering

United States18 yrs experience
Highly Stable

Key Highlights

  • Pioneered AI-driven advertising products generating billions.
  • Led innovative projects transforming merchant engagement.
  • Expert in machine learning and software engineering.
Stackforce AI infers this person is a leader in MarTech with a strong focus on AI-driven solutions.

Contact

Skills

Core Skills

Machine LearningSoftware Engineering

Other Skills

Distributed SystemsBig DataC++Cross-team CollaborationSafety Data Analysis

Experience

Meta

VP of Engineering

Jan 2021Jan 2024 · 3 yrs · Menlo Park, California, United States · Remote

  • Founded and leading a new organization of 𝗠𝗼𝗻𝗲𝘁𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜, pioneering innovative technologies to transform how merchants engage with consumers and improve business ROI. Advancing three key applications poised to revolutionize the commerce landscape.
  • The first area is 𝐂𝐫𝐞𝐚𝐭𝐢𝐯𝐞 𝐆𝐞𝐧𝐀𝐈, focusing on developing AI-driven tools that automatically generate highly dynamic, personalized images and videos for merchant campaigns. By leveraging a powerful data flywheel and enabling merchants to easily define goals and constraints, this next-generation creative optimization platform aims to unlock billions in incremental profit through improved conversion rates.
  • The second area is 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐈, which reimagines conversational commerce—widely adopted in APAC and South America—by building intelligent systems that automatically ingest business tools, information, and knowledge to deliver personalized sales and customer service experiences. This approach frees merchants from manual replies and outdated bots, creating scalable, engaging interactions that enhance customer engagement and satisfaction.
  • The third area 𝐀𝐈 𝐒𝐚𝐥𝐞𝐬 𝐂𝐨𝐧𝐜𝐢𝐞𝐫𝐠𝐞, which redefines online shopping from a passive browsing experience to an interactive, concierge model akin to in-store human sales assistance. This seamless, delightful, and personalized experience spans all consumer touchpoints—including lead generation, retargeting, and customer service—providing merchants with an automated, scalable solution that drives higher conversion and revenue.
Distributed SystemsSoftware EngineeringBig DataC++Machine LearningCross-team Collaboration+1

Facebook

3 roles

Senior Director of Engineering

Promoted

Jan 2017Jan 2021 · 4 yrs

  • 𝐒𝐞𝐧𝐢𝐨𝐫 𝐃𝐢𝐫𝐞𝐜𝐭𝐨𝐫 𝐨𝐟 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 (Dec 2020 to Dec 2022)
  • Led engineering teams across all AI-driven performance advertising products, including Ads Manager, bidding and budgeting, targeting, creative and conversion optimization, mobile app ads, and eCommerce ads. Drove the transformation of legacy systems and underperforming features into high-velocity, fully live products with 3–5 year sustainable, impact-focused roadmaps each—delivering measurable and compounding business results.
  • Pioneered the automation of ads creation and optimization, enabling the majority of campaigns to be launched and optimized by AI with minimal human intervention. Spearheaded the development of numerous multi-billion-dollar advertising products from the ground up, including Advantage+ Creative Campaigns, Advantage+ Shopping Campaigns, Advantage+ Targeting, and multiple outcome-based optimization products.
  • Standardized ROI-based investment metrics across the monetization organization, aligning product development with advertiser value and long-term performance. Led complex product and policy decisions across signals and ranking systems, achieving significant performance recovery while ensuring compliance and integrity at scale.
  • 𝐃𝐢𝐫𝐞𝐜𝐭𝐨𝐫 𝐨𝐟 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 (Jun 2017 to Dec 2020)
  • Led the development of next-generation, large-scale machine learning and recommendation systems foundational to Facebook’s industrial AI capabilities. Envisioned and executed a longterm research roadmap covering core areas including modeling, feature engineering, training and serving infrastructure, and ML developer efficiency. These step-change improvements drove sustained +10% year-over-year revenue growth—reversing prior stagnation—and transformed the company’s AI development velocity and culture. Spearheaded a cultural and organizational shift by rallying top AI talent across teams to build and contribute to a unified ML platform.

Senior Machine Learning Manager

Promoted

Jan 2015Jan 2017 · 2 yrs

  • Led all machine learning efforts across Facebook’s advertising ecosystem, covering every major ad product. Built and scaled high-performing ML teams, drove recruiting efforts, and developed a world-class ML platform to support fast iteration and experimentation. Focused on improving ML development efficiency and infrastructure, enabling the rapid deployment of new algorithms across products and directly contributing to substantial revenue growth across Facebook Ads

Staff Machine Learning Researcher / Manager

Jan 2010Jan 2015 · 5 yrs

  • 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡𝐞𝐫 (Apr 2010 to Dec 2012)
  • Developed machine learning algorithms and core infrastructure for Facebook’s ads ranking system. Contributed to key improvements in ad targeting and relevance, driving a 10–20% annual increase in advertising revenue.
  • 𝐒𝐞𝐧𝐢𝐨𝐫 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡𝐞𝐫 (Jan 2013 to Jun 2013)
  • Led the strategic direction and technical execution of high-impact ads ranking initiatives. Owned roadmap planning, model architecture, and system-level optimization for large-scale ML deployments. Mentored junior engineers and collaborated cross-functionally to streamline infrastructure, data pipelines, and experimentation frameworks.
  • 𝐒𝐭𝐚𝐟𝐟 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡𝐞𝐫 / 𝐌𝐚𝐧𝐚𝐠𝐞𝐫 (Jul 2013 to Jun 2015)
  • Promoted to a hybrid technical leadership and management role. Spearheaded the development of several multi-billion-dollar ad products, including App Install Ads, Dynamic Ads, and Return on Ad Spend (ROAS) optimization. Managed a team of machine learning engineers, set long-term technical strategy, and partnered with product and engineering leaders to scale Facebook’s ads platform.

Microsoft

Software Engineer

Jan 2006Jan 2010 · 4 yrs

  • Developed automated testing and deployment frameworks for the ad delivery pipeline, improving reliability and reducing campaign downtime.
  • Collaborated cross-functionally with product managers and data scientists to translate advertiser needs into engineering solutions

Education

Northwestern University

Master of Science - MS — Computer Engineering

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