TikTok's Next-Generation Recommendation team is focused on pioneering cutting-edge recommendation systems powered by advanced large-model technologies to advance TikTok's personalized content discovery and user experiences by harnessing the power of large models and leveraging massive user data to build revolutionary recommendation technologies.
Requirements
- Currently pursuing PhD Degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related field.
- Hands-on experience in one or more of the following areas: Large Language Models (LLM), Machine Learning, Deep Learning, Recommender Systems, Data Mining, or Natural Language Processing
- Familiarity with PyTorch or TensorFlow, solid foundation in data structures and algorithms.
- Strong engineering and infrastructure development skills, with hands-on experience in building and optimizing distributed systems and processing large-scale online/offline dataflow.
- Proficiency in CUDA programming (experience with Triton) is highly desirable.
- Prior research/industry experience in at least two of the following areas—multimodal content understanding, personalized recommendation, or large-scale cross-domain optimization—is a significant advantage.
- In-depth knowledge and expertise in large-scale Transformer architectures, including mastery of the latest optimization techniques such as Sparse Attention, Linear Attention, Flash Attention, and other cutting-edge methods to enhance model performance and efficiency.
Responsibilities
- Design and develop next-generation large-scale recommendation systems optimized for personalized, engaging, and scalable user experiences.
- Leverage state-of-the-art machine learning and deep learning techniques, including large model technologies（LLM and MLLM, etc), to enhance recommendation performance and accuracy.
- Collaborate with cross-disciplinary teams, including infrastructure engineers, pmo, and researchers, to create advanced systems that improve recommendation relevance, diversity, and user engagement.
Other
- Excellent communication and teamwork skills, and a passion for learning new techniques and tackling challenging problems
- Applications will be reviewed on a rolling basis - we encourage you to apply early.
- Please state your availability clearly in your resume (Start date, End date).
- TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives.
- TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws.
