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

TIKTOK PTE. LTD.; Singapore; Presencial; SGD 120.000 - 190.000; Jornada completa

Descripción de la vacante

TikTok PTE. LTD. is seeking a talented engineer to develop domain-specific large language models for e-commerce, optimize governance workflows, and push multimodal NLP capabilities.

You will collaborate with cross-functional teams to build scalable AI solutions that guide policy, detect violations, and enhance user experience across languages and regions. The role welcomes graduates with a strong ML/DL background, solid CS fundamentals, and a passion for innovation.

Formación

• Bachelor's or Master's degree in Software Development, CS, or a related technical discipline.
• Strong foundation in data structures, algorithms, and programming.
• Deep learning, NLP or multimodal learning research experience preferred.
• Excellent communication and collaboration abilities.

Responsabilidades

• Large language Model Algorithm Development: build domain-specific LLMs for e-commerce.
• E-commerce Governance Optimization: improve governance with intelligent review systems.
• Model Enhancement: data construction, instruction fine-tuning, CoT, PEFT.
• Governance-related problem solving: handle long sequences, few-shot learning, content moderation.
• Model Development and Optimization: advance NLP and multimodal models for multilingual and multi-task scenarios.

Conocimientos

Programming skills

DS & algorithms

ML/DL/NLP

Communication & collaboration

Educación

Bachelor's or Master's in CS/SE

Herramientas

ML frameworks (PyTorch/TensorFlow)

NLP/Multimodal libraries

Version control (Git)

Descripción del empleo

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

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.

About the Team

Through algorithm optimization and collaboration with business teams, the team conducts comprehensive quality and ecosystem governance for e-commerce products. This involves combating risks, violations, and low-quality issues, as well as constructing and optimizing the e-commerce ecosystem. The team aims to maximize platform governance effectiveness while improving operational efficiency and reducing costs. Additionally, the team is dedicated to advancing cutting-edge AI technologies to drive business transformation and development through technical innovation, covering diverse fields including but not limited to NLP, CV, multimodal models, large models, graph algorithms, and sequence algorithms.

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.

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

1. 1. 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.
2. 2. 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.
3. 3. 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.
4. 4. 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.
5. 5. 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

1. 1. Individuals who are completing or have recently completed a Bachelor's degree or Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
2. 2. Possess solid programming skills, a strong foundation in data structures and algorithms, and proficiency in using various algorithmic and engineering frameworks.
3. 3. Strong foundation in machine learning, with in-depth understanding and research experience in deep learning, reinforcement learning, NLP, or multimodal learning.
4. 4. 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

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