Alper Canberk is a Founding ML Engineer based in Mountain View with 11 years of experience building and researching machine learning systems across industry and academia. He has first-authored papers at ECCV and CoRL and contributed to robotics research including ICRA publications and real-world UR5 hardware work, reflecting a strong bridge between simulation and deployed systems. Recent roles include large-scale video modeling at Snap and founding ML engineering at Sunday, where he focuses on taking research-grade models into production. His background spans generative computer vision, robot learning, and internet-scale pretrained models for practical problems like ad-ranking and garment manipulation. Alper’s profile reflects both deep research chops and hands-on engineering—he’s equally comfortable running multi-GPU training pipelines and shipping ML features at product scale. An early indicator of his aptitude: he earned research scholarships and collaborated with Toyota Research Institute while still an undergraduate.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Columbia Engineering
High School Diploma High School/Secondary Diplomas and Certificates, High School Diploma High School/Secondary Diplomas and Certificates at The Lawrenceville School
Dual Enrollment Mathematics, Dual Enrollment Mathematics at Princeton University
Contributions:422 commits, 1 PR, 371 pushes in 1 month
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