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Staff Machine Learning Scientist @ Adobe | Search, Relevance, Retrieval, Ranking & Recommendation, LLMs, VLMs, MTL, Multimodal AI, Relevance AI Foundation Models and Systems | ex-Pinterest, ex-JD.COM
I am a Senior Staff Machine Learning leader specializing in Search, Relevance, Retrieval, Ranking, and Recommendation systems, with deep expertise in semantic search, embedding, multi-task learning, multimodal AI, LLMs, VLMs, and large-scale production systems. I am currently a Staff Machine Learning Scientist at Adobe, leading the development of the Relevance AI Foundation powering Adobe Express and Stock. I drive end-to-end innovation from model architecture to production deployment and A/B impact, building scalable retrieval and ranking systems that improve user engagement and business outcomes. At Adobe, I have delivered measurable impact, including +XX% CTR lift, +X% CVR improvement, and –XX% null rate reduction, while establishing reusable AI foundations across teams. I designed MTL/MMoE and Transformer-based ranking architectures, developed LLM-augmented and multimodal retrieval systems, and built automation pipelines that improved ML iteration speed by ~90%, bridging research and production systems. Previously, at Pinterest, I led the development of e-commerce search and recommendation systems across multiple surfaces, building deep learning models including two-tower recommenders, multi-task models, and personalized ranking systems that drove significant GMV and checkout improvements. Before that, at JD.com, I led development of large-scale ML and NLP systems for search and recommendation, contributing to distributed systems including HBase, Zookeeper, and Spark. I bring 16+ years of experience in large-scale search, retrieval, ranking, recommendation, and ads systems, with 14+ years of technical leadership and people management experience. I have authored 9 top-tier publications and filed 7 patents, advancing ranking, multimodal retrieval, and personalization. My focus is on building scalable AI systems, driving technical leadership, and deli
Hubei Enan Senior High School
High School Diploma, Engineering
N/A – Present
Zhejiang University
Master Degree, College of Computer Science and Technology, Computer Application Technology
N/A – Present
Hunan University
Bachelor's degree, College of Computer Science and Technology, Computer Science and Technology
N/A – Present
Adobe
Staff Machine Learning Scientist
April 1, 2024 – Present
San Jose, California, United States
Senior Staff Machine Learning Engineer
October 1, 2020 – April 1, 2024
Palo Alto, California, United States
JD.COM
Senior Staff Machine Learning Engineer
April 1, 2017 – October 1, 2020
Mountain View, California, United States
GridX, Inc.
Principal Software Architect
August 1, 2015 – April 1, 2017
San Francisco Bay Area, United States
Cloudera
Staff Software Engineer
July 1, 2013 – August 1, 2015
Intel Corporation
Staff Software Engineer
July 1, 2013 – August 1, 2015
IBM
Staff Software Engineer
April 1, 2010 – July 1, 2013
IBM
Software Engineer Intern
January 1, 2009 – January 1, 2009
Microsoft
Microsoft Campus Ambassador Intern
March 1, 2008 – March 1, 2010
Nokia
Software Engineer Intern
January 1, 2007 – January 1, 2007
Giving and Receiving Feedback
June 24, 2026 – Present
Cloudera Certified Professional Data Scientist (CCP: Data Scientist)
Cloudera
June 24, 2026 – Present
Cloudera Certified Administrator for Apache Hadoop (CCAH)
Cloudera
June 24, 2026 – Present
Cloudera Certified Specialist in Apache HBase (CCSHB)
Cloudera
June 24, 2026 – Present
IBM BigInsights Technical Professional
IBM
June 24, 2026 – Present
Communicating with Diplomacy and Tact
June 24, 2026 – Present
Sanyin Siang on Strategic Mentoring
June 24, 2026 – Present
Cloudera Certified Developer for Apache Hadoop (CCDH)
Cloudera
June 24, 2026 – Present
PMP
PMI
June 24, 2026 – Present
Cloudera Data Analyst
Cloudera
June 24, 2026 – Present
Java Standard Edition 6 Programmer Certified Professional (SCJP)
Oracle
June 24, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit through their extensive experience across diverse, high-impact projects in leading technology companies. Their roles consistently involve technical leadership, innovation (patents, publications), and driving significant business outcomes. The breadth of their experience, from co-founding a startup to working at large enterprises, indicates adaptability and a proactive approach to problem-solving. The focus on building 'foundations' and 'brand new systems' suggests an innovative and pioneering mindset, which aligns well with dynamic, growth-oriented environments. Their certifications also show a commitment to continuous learning and professional development.
Soft Skills & Operational Fit
The candidate's resume highlights strong leadership, mentorship, and cross-organizational collaboration skills. Their experience in leading end-to-end development, architecting scalable systems, and driving product impact suggests excellent operational fit and ability to navigate complex technical environments. The certifications in 'Giving and Receiving Feedback', 'Communicating with Diplomacy and Tact', and 'Sanyin Siang on Strategic Mentoring' further indicate a commitment to professional development in soft skills, which are crucial for senior roles.