Song W
Machine Learning Researcher at Zoom
Greater Seattle Area United States
Summary
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SeniorSong Wang is an applied scientist specializing in NLP and multimodal generative AI, who completed a Ph.D. in Electrical and Computer Engineering at UT Austin under Joydeep Ghosh and Ying Ding. With 11 years of industry and research experience, he has translated academic advances into product-focused work at ShortTok—where he moved from intern to full-time scientist building large-scale video AI—and at Amazon Robotics, where he cut annotation costs by ~25% using noisy-click supervision. He combines deep statistical grounding with practical LLM and multimodal model engineering, informed by a Master’s from UT Austin and an IoT engineering background from Beijing and Queen Mary. Based in Austin, Song blends rigorous research with production deployment experience across cloud-scale video and vision-language systems. An interesting thread through his career is optimizing data efficiency—getting near state-of-the-art results with weaker supervision—which informs his approach to scalable model development.
11 years of coding experience
English, Chinese
Github Skills (56)
pytorch10
python10
machine-learning10
llm10
audio10
deep-learning10
natural-language-processing10
transformer10
jupyter-notebook10
nlp10
data-science9
reinforcement-learning9
machine-learning-models9
artificial-intelligence9
transformers9
Programming languages (3)
Github contributions (5)
songwang41/PhysicianReferral
Oct 2015 - May 2023
Contributions:23 pushes, 1 branch in 7 years 8 months
songwanguw/Twitter_Campaign2016
Sep 2016 - Jun 2018
Contributions:43 commits, 29 pushes, 3 branches in 1 year 9 months
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