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Hien Luu
Head of Machine Learning Platform @ DoorDash - We're hiring!
Hien Luu is a Senior Engineering Manager at DoorDash, where he leads the Machine Learning Platform team. His expertise lies at the intersection of Big Data and Machine Learning, focusing on building scalable infrastructure to accelerate machine learning development within the company. Hien has been with DoorDash since March 2020 and has contributed significantly to various projects aimed at enhancing machine learning capabilities.123
Professional Background
- Previous Roles: Before joining DoorDash, Hien held engineering management positions at notable companies such as LinkedIn and Uber, where he developed solutions for AI-powered applications and real-time analytics systems.24
- Education: He earned a Bachelor’s degree in Electrical Engineering from the University of Washington and a Master’s degree in Software Engineering from San Jose State University.4
Contributions and Interests
Hien is passionate about the practical applications of AI and machine learning in business environments. He often speaks at industry conferences, sharing insights on challenges and strategies for successful AI/ML adoption. He is also an author, having written books on Apache Spark, which further showcases his commitment to advancing knowledge in the field.134
Teaching and Mentorship
In addition to his role at DoorDash, Hien serves as an instructor at UCSC Extension, where he teaches courses related to data science and machine learning. He has been involved in education since 2003, contributing to curriculum development and mentoring aspiring data professionals.4
Overall, Hien Luu's extensive experience in engineering management, combined with his passion for machine learning and education, positions him as a key figure in advancing AI technologies within the tech industry.
Highlights
🚀 Exciting News! DoorDash ML Platform team is hiring at various levels 🚀
Are you passionate about Machine Learning Infrastructure at scale and looking for your next adventure?
Join us to help elevate our platform to the next level.
If you have experience in any of the following areas, we want to hear from you:
- Large scale distributed model training with GPUs
- Large scale model serving & optimization techniques
- Large scale batch and real-time feature engineering
- LLMs fine-tuning & benchmarking, low-latency inference optimization
