ML Research Scientist - Content Understanding & AIGC

TikTok; Singapore; On-site; SGD 180,000 - 280,000; Full time

Job summary

TikTok is seeking strong machine learning engineers to grow their business understanding, build scalable ML models, and collaborate with global teams. The role focuses on a next-generation content understanding system for TikTok monetization, with opportunities across research in ML, CV, and NLP and incubation of products using cutting-edge AIGC techniques.

Applicants will work with a team that values high quality user experience and advertiser value, contributing to an ecosystem that rewards

Qualifications

• Ph.D. degree in Computer Science, Computer Engineering or other relevant majors.
• Rich research experience in but not limited to the following areas (as the first author of published papers at CVPR, ICCV, ECCV, TPAMI, IJCV, ICML, NeurIPS, ICLR, ACL, EMNLP, NAACL, etc.)
• Image/video search, classification, and recognition
• Object detection, segmentation, and tracking
• Representation learning (multi-modality, pre-training, vision transformer, etc.)
• OCR and large language models (LLM)
• Image/video/multimodal generative models

Responsibilities

• Conduct cutting-edge research in machine learning, computer vision or natural language processing.
• Support and incubate products with machine learning, especially state-of-the-art AIGC techniques such as GPT, Stable Diffusion, etc.

Skills

Machine learning research

Computer vision

Natural language processing

Multimodal learning

Generative models

OCR & LLM

Research publication

Education

Ph.D. in Computer Science or related field

Job description

TikTok is seeking strong machine learning engineers to grow their business understanding, build scalable ML models, and collaborate with global teams. The role focuses on a next-generation content understanding system for TikTok monetization, with opportunities across research in ML, CV, and NLP and incubation of products using cutting-edge AIGC techniques.

Applicants will work with a team that values high quality user experience and advertiser value, contributing to an ecosystem that rewards