Dongyu (Rain) Y. — AI Researcher
👋 Greetings! I'm Dongyu (Rain) Yao, a Master's student in Computer Vision (MSCV) at the Robotics Institute (RI), School of Computer Science (SCS), Carnegie Mellon University (CMU). 🔎 I'm actively seeking entry-level full-time opportunities in Machine Learning Engineer (MLE), Research Scientist, and SDE/SWE positions for spring 2026. 🔬My research interests broadly lie in Machine Learning, Computer Vision, NLP, and Generative AI (LLMs and MLLMs). My research endeavors paid off as my previous works were published at Top-tier conferences such as ACL (main), ICCV, ICASSP, CogSci (Oral), and NeurIPS. 🧑💻 I’m intoxicated with these cutting-edge technologies and their real-world applications. After honing my end-to-end modeling skills as a Machine Learning Engineer intern at TikTok (ByteDance), I deepened my engineering chops at Meta, building core ML infrastructure components and exploring new feature innovations. With hands-on model development insights and a solid engineering foundation on production-scale systems, I’m driven to push the boundaries of AI innovation even further. 🥁Apart from my professional experience as an enthusiastic researcher and engineer, I derive great enjoyment from music. I’ve had 18 years of performing experience with percussion instruments (e.g., snares, timpani, drum sets, marimba). I have served as the Chief percussionist at Wuhan University Symphony Orchestra and the drummer of the school music band AfterMathCandy. 🏀 I believe life thrives on movement. I have developed strong communication and cooperative skills as well as relaxing myself in the game of basketball (served as Shooting Guard in the department’s team of WHUCSE). I place significant importance on collective honor and team triumphs. 🤝 I’m always open to new opportunities. If you are interested in working with me, please feel free to drop an email to rain.dongyu.yao@gmail.com or raindy@cmu.edu
Stackforce AI infers this person is a Machine Learning Engineer with a focus on AI and Computer Vision.
Location: Pittsburgh, Pennsylvania, United States
Experience: 0 mo
Skills
- Machine Learning
- Computer Vision
- Generative Ai
Career Highlights
- Published research at top-tier conferences.
- Interned at Meta and TikTok, enhancing ML skills.
- Expertise in Generative AI and Multimodal Learning.
Work Experience
Meta
Software Engineer (3 mos)
Carnegie Mellon University
Research Assistant (1 yr)
Massachusetts Institute of Technology
Research Assistant (4 mos)
TikTok
Machine Learning Engineer (3 mos)
Education
Master of Science - MS at Carnegie Mellon University
Bachelor of Engineering - BE at Wuhan University