Content Understanding LLM Algorithm Engineer Graduate - 2027 Start

Team Overview

This role is part of a team dedicated to algorithm optimization and collaboration with business units, focused on overseeing quality and governance across e-commerce products. Key responsibilities include mitigating risks, addressing violations and low-quality content, and enhancing the e-commerce ecosystem. The team also pursues advanced AI technologies to transform business operations, working in areas such as natural language processing (NLP), computer vision (CV), multimodal models, large-scale models, graph algorithms, and sequence algorithms.

Role Responsibilities

• Design and develop large language models (LLMs/MLLMs) tailored to the e-commerce domain, integrating domain expertise to enable rapid application of models in various business contexts.
• Deeply analyze e-commerce governance challenges to enhance the oversight of merchants, products, videos, live-streaming, and intellectual property rights (IPR) using algorithmic improvements. Build sophisticated intelligent review systems that provide transparent rejection rationale.
• Improve model performance by engaging in data curation, foundational model refinement, instruction fine-tuning, chain-of-thought (CoT) reasoning, and parameter-efficient fine-tuning (PEFT) techniques within the e-commerce specialties.
• Apply large models and multimodal strategies to tackle problems such as managing long sequences of text, few-shot learning, content moderation, violation identification, and policy recommendation.
• Research, develop, and optimize NLP and multimodal large-scale models focused on multilingual, multi-task, and multi-modal applications suited for various e-commerce scenarios.

Required Qualifications

• Recent or soon-to-be graduate with a Bachelor's or Master's degree in Software Development, Computer Science, Computer Engineering, or similar technical fields.
• Strong programming capabilities combined with robust understanding of data structures and algorithms and experience with multiple algorithmic and engineering frameworks.
• Deep knowledge in machine learning fundamentals, including experience or research in areas such as deep learning, reinforcement learning, NLP, or multimodal learning.
• Effective communication skills and the ability to collaborate closely with teams to explore emerging technologies and foster technical innovation.

Preferred Qualifications

• Published research in prominent international conferences or journals (e.g., ACL, EMNLP, NeurIPS, ICML, ICLR, CVPR) is advantageous.
• Demonstrated strong practical expertise, evidenced by achievements in competitions such as Kaggle, GLUE, Super GLUE, or CLUE.

Additional Information

Applicants must commit to starting by the end of the year and clearly specify their graduation date and availability. Candidates may apply to a maximum of two positions across this company and its global affiliates. Applications are reviewed continuously; early submission is encouraged.

About the Company

TikTok is a global leader in short-form mobile video platforms, dedicated to inspiring creativity and spreading joy. Headquartered in Los Angeles and Singapore, with offices worldwide, TikTok values curiosity, humility, resilience, and a growth mindset characterized by continuous innovation. The company is committed to diversity and inclusion, fostering an environment where varied experiences and viewpoints are celebrated to serve a global community.