M

Mingyang (Michael) Zhang

AI Researcher

San Francisco, California, United States12 yrs 9 mos experience
Highly StableAI Enabled

Key Highlights

  • Expert in Large Language Models and AI research.
  • Led teams at Meta and Google to innovate AI applications.
  • Pioneered advancements in user intent understanding.
Stackforce AI infers this person is a leader in AI research and development, specializing in Large Language Models and natural language processing.

Contact

michael61809@outlook.comLinkedIn

Skills

Core Skills

Large Language ModelsAi Research ManagementNatural Language Processing

Other Skills

LLM alignmentLLM applicationsLLM context retrievalLLM foundation model post-trainingRAGdiscoveryinformation retrievallong context LLMnatural language understandingpersonalizationpersonalized large language modelsuser intent understanding

About

I am Senior Staff Research Scientist, AI Research Manager at Meta Superintelligence Labs. My work spans from LLM context retrieval (e.g. RAG, long context LLM), LLM foundation model post-training & alignment, to LLM applications.

Experience

Meta

Senior Staff Research Scientist, Senior Tech Lead Manager

Jul 2025 – Present · 8 mos · Menlo Park, California, United States · On-site

  • I joined Meta Superintelligence Labs to build the most helpful, intuitive personal AI!
  • My work spans from LLM context retrieval (e.g. RAG, long context LLM), LLM foundation model post-training & alignment, to LLM applications.
LLM context retrievalRAGlong context LLMLLM foundation model post-trainingLLM alignmentLLM applications+2

Google deepmind

Senior Staff Research Scientist, Senior Manager

May 2024 – Jul 2025 · 1 yr 2 mos · Mountain View, California, United States · On-site

  • Spearheaded and directed a research team at Google DeepMind focused on improving Large Language Model (LLM) user intent understanding and personalization.
  • My research topics spanned from LLM context retrieval (e.g. RAG, long context LLM), LLM foundation model post-training & alignment, to LLM applications. My research outcomes directly fueled the advancement of the Gemini models, the Gemini App, Google Search AI Overview and AI Mode.
LLM context retrievalRAGlong context LLMLLM foundation model post-trainingLLM alignmentLLM applications+4

Google

Senior Staff Software Engineer, Senior Manager

Jul 2013 – May 2024 · 10 yrs 10 mos · Mountain View, California, United States · On-site

  • I led a research team at Google Research focused on natural language understanding, information retrieval, and discovery, with a special emphasis on personalized large language models (LLMs). We pushed the boundaries of state-of-the-art technologies and successfully deployed our research in the Gemini models as well as major Google products such as Search, Ads, Maps, and Workspace.
  • I joined Google in 2013 as an L4 Software Engineer and was gradually promoted to Senior Staff Software Engineer and Senior Manager over the years.
natural language understandinginformation retrievaldiscoverypersonalized large language modelsNatural Language ProcessingAI Research Management

Education

The George Washington University

Doctor of Philosophy (PhD) — Computer Science

Jan 2009 – Jan 2013

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