Content Understanding LLM Algorithm Engineer Graduate (Global E-Commerce) - 2027 Start (PhD)

Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.

Responsibilities
- Large language Model Algorithm Development: Build domain-specific large language models (LLM/MLLM) for e-commerce, integrating domain knowledge to rapidly apply models to business scenarios.
- E-commerce Governance Optimization: Understand e-commerce governance scenarios deeply to improve merchant/product/video/live-stream/IPR governance through algorithm optimization. Develop state-of-the-art intelligent review systems capable of "knowing why to reject" decisions.
- Model Enhancement: Handle tasks like data construction, foundational model enhancement, instruction fine-tuning, chain-of-thought (CoT) , and parameter-efficient fine-tuning (PEFT) to achieve optimal model performance in the e-commerce domain.
- Problem Solving for Governance Applications: Address challenges such as long text/sequence modeling, few-shot learning, content moderation, violation detection, and policy recommendation using large models and multimodal approaches.
- Model Development and Optimization: Research and optimize e-commerce-specific NLP and multimodal large models to improve multilingual, multi-task, and multi-modal algorithm performance across various e-commerce scenarios.

Qualifications

Minimum Qualifications
- Individuals who are completing or have recently completed a PhD degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Possess solid programming skills, a strong foundation in data structures and algorithms, and proficiency in using various algorithmic and engineering frameworks.
- Strong foundation in machine learning, with in-depth understanding and research experience in deep learning, reinforcement learning, NLP, or multimodal learning.
- Demonstrate good communication and collaboration skills, with the ability to work closely with the team to explore new technologies and drive technical innovation.

Preferred Qualifications
- Prior publications in international conferences or journals (including but not limited to ACL, EMNLP, NeurIPS, ICML, ICLR, CVPR) are preferred.
- Strong practical abilities, with achievements in competitions like Kaggle, GLUE, Super GLUE, CLUE, etc.

Client-provided location(s): Singapore

Job ID: TikTok-7667726038367963397

Employment Type: OTHER

Posted: 2026-08-03T20:01:19