Research Scientist, TikTok Core Feed Recommendation - Dedup
Tiktok
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About the Team
Our team pushes the boundaries of cutting-edge research and innovation in areas critical to TikTok’s present and future. We drive key products and services while tackling large-scale technical challenges across the organization. With world-class researchers and engineers, we’re also committed to academic collaboration with publishing at top conferences, giving talks, and mentoring the next generation of talent.
Join us if you're passionate about advancing the field, solving real-world problems, and shaping the future of TikTok through creativity and innovation.
Responsibilities
1. Conduct cutting-edge research in the fields of computer vision and machine learning
2. Ensure successful technology transfers to TikTok’s products
3. Incubate new products with computer vision and machine learning technologies
Requirements
Minimum Qualifications
1. Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field.
2. Research experience in one or more of the following areas: image/video search, image/video classification and understanding, object detection, segmentation, tracking, scene understanding, facial analysis, pose and gesture recognition, or 3D vision.
3. Strong skills in algorithms and programming.
4. Demonstrated ability to work effectively both independently and as part of a collaborative team.
Preferred Qualifications
1. Award-winning experience in competitive programming (e.g., ACM ICPC, IOI/NOI, TopCoder, or Kaggle).
2. Proven track record of publishing in top-tier computer vision or AI conferences (e.g., CVPR, ICCV, NeurIPS, ICML, etc.).
Summary
Conduct research in computer vision and machine learning for TikTok products.
Job title
Research Scientist, TikTok Core Feed Recommendation - Dedup
Experience level
PhD level
Industry
software
Location requirements
San Jose, CA, USA; on-site preferred
Salary
Not specified
Visa sponsorship
H-1B sponsor history
Management role
No
Required skills
Preferred skills
Specializations
Structured locations inferred from the posting.
San Jose, CA, USA