Sijie Song
Machine Learning Engineer at Apple
Haidian District, Beijing, China
Summary
👤
Senior🎓
Top SchoolSijie Song is a Machine Learning Engineer with a decade of experience bridging academic research and industry-grade ML at Apple, following a long research tenure at Peking University's Institute of Computer Science and Technology. He holds a Ph.D. in Computer Science from Peking University, complemented by interdisciplinary undergraduate training in both computer science and economics, and has engaged with Columbia University during his studies. At Apple he applies deep research instincts to production problems, translating novel algorithms into scalable systems informed by years of academic experimentation. Based in Haidian District, Beijing, he combines rigorous theoretical background with practical deployment experience—a blend that helps him navigate the full lifecycle from research prototypes to shipped ML features. An understated detail: his homepage and academic roots suggest a sustained commitment to publishing and maintaining a personal technical presence alongside corporate work.
10 years of coding experience
Ph.D., Computer Science, Ph.D., Computer Science at Peking UniversityColumbia university, Columbia university at Columbia University
Chinese, English, 西班牙语
Github Skills (14)
machine-learning8
pytorch8
transformation8
python8
parsing8
semantic-parsing8
semantic7
tensorflow7
data-science7
deep-learning7
neural-network5
image-generation5
jax4
pose2
Programming languages (1)
Github contributions (5)
SijieSong/person_generation_spt
Apr 2019 - May 2021
PyTorch Implementation for Unsupervised Person Image Generation with Semantic Parsing Transformation
Contributions:14 commits, 12 pushes, 1 branch in 2 years 1 month
pytorchtransformationpersondeep-learningunsupervised
SijieSong/CVPR21-Cogrounding_semantic_attention
May 2021 - Jul 2021
Contributions:22 commits, 18 pushes, 1 branch in 1 month
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