TikTok is looking to solve the problem of traditional collaborative filtering and supervised learning methods being insufficient in today's content-driven commerce landscape, and is exploring how large language models (LLMs) and generative AI can transform the recommendation process.
Requirements
- Experience with LLMs (e.g., GPT, LLaMA, PaLM) or diffusion/generative models, through research or practical application
- Proficient coding skills in Python and hands-on experience with deep learning frameworks such as TensorFlow or PyTorch
- Publications in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ACL, SIGIR, KDD, CVPR, RecSys)
- Experience with recommendation systems, retrieval models, or multi-modal learning
- Familiarity with building and deploying real-time, scalable ML systems in production
- Background in e-commerce or related applied AI research domains
Responsibilities
- Design algorithms and systems that leverage LLMs and generative models for content-to-commerce matching, product summarization, etc
- Explore novel architectures and strategies for generative recommendation systems
- Contribute to the research community via internal papers, patents, or external publications
- Drive scientific rigor while balancing real-world constraints
Other
- PhD in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related technical field
- Commit to an onboarding date by end of year 2026
- State availability and graduation date clearly in resume
- Ability to interact and occasionally have unsupervised contact with internal/external clients and/or colleagues
- Ability to appropriately handle and manage confidential information
