Hi, I'm Meng Li - Principal Machine Learning Engineer at Unity
I thrive on building and scaling sophisticated machine learning systems that tackle complex challenges, particularly in areas like AI-driven recommendations and real-time advertising. My passion lies in transforming innovative ideas into production-ready solutions.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Led two engineering teams of 20+ members at Google, driving large-scale ML project success.
Currently developing advanced LLM-based video recommendation systems at Unity.
Can help others by architecting end-to-end ML pipelines and optimizing pCTR models.
🚀 Career trajectory
Foundation in Engineering
Began career honing core software engineering skills, progressing through Senior and Staff roles at Google.
✦ Software Engineering
Transition to Management
Moved into Engineering Management at Google, leading teams and large-scale ML projects.
✦ Engineering Management
✦ Team Leadership
✦ ML Projects
Principal ML Engineer
Currently driving cutting-edge ML initiatives as a Principal Machine Learning Engineer at Unity.
✦ Principal Engineer
✦ Machine Learning
✦ Unity
✦ LLMs
💪🏻 Superpowers
ML System Architect
Designing and implementing robust, scalable machine learning solutions.
✦ Orchestrated end-to-end ML pipelines from data engineering to real-time serving.
✦ Optimized pCTR models for large-scale ad systems, enhancing performance.
✦ Developed LLM-based video recommendation enhancements.
Engineering Leadership
Guiding and empowering teams to achieve ambitious technical goals.
✦ Managed and mentored two engineering teams, each exceeding 20 members.
✦ Drove successful development and deployment of multiple large-scale projects.
✦ Fostered a culture of innovation and high performance.
Cross-Domain ML Innovation
Applying advanced ML techniques to solve complex problems.
✦ Leveraged LLMs for novel video recommendation strategies.
✦ Specialized in pCTR model optimization for significant ad system impact.
✦ Expertise spans diverse applications of ML.
I'm excited about
✦ Exploring novel AI applications in gaming and real-time environments.
✦ Connecting with thought leaders in distributed systems and MLOps.
✦ Seeking opportunities to mentor emerging AI talent.
I can help with
✦ Advise on building and scaling robust machine learning infrastructure.
✦ Share best practices for managing high-performing engineering teams.
✦ Provide insights into LLM applications for recommendation systems.
I would love your help on
✦ Gain perspectives on emerging trends in real-time AI inference.
✦ Discover innovative approaches to AI ethics in gaming.
✦ Learn about cutting-edge research in generative AI models.