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

About the Role and Team

This role is part of a dynamic team focused on algorithm optimization and collaboration with business units to conduct comprehensive e-commerce product quality control and ecosystem governance. The team strives to mitigate risks, prevent violations, and improve product quality while enhancing operational effectiveness and lowering costs. They leverage cutting-edge AI technologies to propel business transformation through innovations in NLP, computer vision, multimodal models, large models, graph algorithms, and sequence algorithms.

We are seeking talented graduates eager to tackle challenging problems, pursue bold ideas, and achieve limitless professional growth. Arriving by the end of the year for onboarding is required; candidates should clearly state availability and graduation date in their application.

Key Responsibilities

• Develop specialized large language models (LLM/MLLM) tailored for e-commerce, integrating domain expertise to swiftly implement these models in business contexts.
• Deeply understand e-commerce governance to optimize merchant, product, video, live-stream, and intellectual property rights (IPR) oversight through advanced algorithmic solutions; design intelligent review systems explaining rejection decisions.
• Enhance models by conducting data preparation, foundational model improvements, instruction fine-tuning, chain-of-thought (CoT) techniques, and parameter-efficient fine-tuning (PEFT) to maximize performance within e-commerce settings.
• Address governance application challenges including long text and sequence modeling, few-shot learning, content moderation, violation detection, and policy recommendation by leveraging large and multimodal models.
• Conduct research and optimize e-commerce specific NLP and multimodal large models aimed at improving multilingual, multitask, and multimodal algorithm efficiency across diverse e-commerce applications.

Candidate Qualifications

Minimum Requirements:

• Current or recent PhD graduate in Software Development, Computer Science, Computer Engineering, or related technical fields.
• Strong programming skills combined with a solid grasp of data structures, algorithms, and proficient usage of algorithmic and engineering frameworks.
• Deep understanding and research experience in machine learning subfields such as deep learning, reinforcement learning, NLP, or multimodal learning.
• Excellent communication and teamwork skills enabling close collaboration to explore and implement technological innovations.

Preferred Qualifications:

• Publication record in prominent international conferences or journals (e.g., ACL, EMNLP, NeurIPS, ICML, ICLR, CVPR) is advantageous.
• Demonstrated applied proficiency through notable achievements in competitions such as Kaggle, GLUE, SuperGLUE, CLUE.

Company Culture and Values

TikTok is a leading platform for short-form mobile video content, with headquarters in Los Angeles and Singapore and offices worldwide. The company is committed to inspiring creativity and joy through innovative products and diverse global teams. Valuing curiosity, humility, and impactful work, TikTok encourages employees to embrace challenges and continuously innovate with an "Always Day 1" attitude.

Diversity & Inclusion

The company fosters an inclusive environment where the unique perspectives and talents of employees from around the world are valued and celebrated. TikTok is dedicated to reflecting the diversity of its global communities within its workforce and culture, striving to create a workplace of belonging for all.