Machine Learning Engineer (CV/NLP/Multimodal/LLM), TikTok Global E-Commerce - 2025 Start (PhD)

Responsibilities

• Responsible for identifying algorithms for risk/violation/low-quality issues in e-commerce scenarios such as products, shopping cart short videos, and live streaming with products.
• Responsible for mining and identifying algorithms to detect fraudulent behaviors and identify risky, violated, or low-quality merchants and creators.
• Responsible for optimizing algorithms for large-scale brand libraries, products, and content deduplication/clustering.
• Responsible for data construction, instruction fine-tuning, CoT, alignment, and other work for large models in the e-commerce domain, aiming for ultimate effect optimization in the e-commerce domain.
• Responsible for exploring reinforcement learning and operational research algorithms in intelligent dispatching and intelligent audit scheduling to improve audit quality and efficiency.

Qualifications

Minimum Qualifications

• Final year Ph.D or recent Ph.D graduates in Computer Science, engineering or quantitative field.
• Solid foundation in data structures/algorithms, proficient in machine learning/deep learning theory, and rich practical experience.
• Familiar with 1-2 areas in natural language processing, computer vision, multimodal, graph algorithms, search algorithms, text/data mining, and LLM.
• Excellent analytical and problem-solving skills, passionate about challenging problems.
• Good team spirit and strong communication skills.

Preferred Qualifications

• Good sense of teamwork and communication skills, practical experience in relevant business scenarios is preferred.
• Published papers in high-level computer science conferences (ACL, EMNLP, NIPS, AAAI, etc.) or have competition experience are preferred.
• Candidates who have practical experience in DALL-E, CLIP, GLIDE and other related projects are preferred.
• Candidates who have good performance in international competitions in related fields (such as VQA, Image Captioning/Retrieval) are preferred.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

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If you have any questions, please reach out to us at apac-earlycareers@tiktok.com.