Responsibilities
- Build and optimize shared foundation models for multi-business and multi-scenario recommendation systems.
- Advance event-sequence-driven generative recommendation with multimodal understanding and generative capabilities.
- Apply LLM technologies across retrieval, ranking, and re-ranking stages.
- Participate in model training, inference optimization, and system co-design.
- Integrate LLMs and VLMs with recommendation systems to develop adaptive intelligent recommenders.
- Research end-to-end generative recommendation and system optimization methods balancing efficiency and user experience.
Requirements
- Solid theoretical foundation in machine learning, deep learning, or information retrieval.
- Proficiency in Python and familiarity with mainstream deep learning frameworks such as PyTorch.
- Strong interest in intelligent recommendation systems and a self-driven research mindset.
- Preferred: experience developing large-scale recommendation systems or training large models, with notable technical achievements.
- Preferred: research experience or publications in LLMs, multimodal learning, reinforcement learning, or generative recommendation.
- Preferred: familiarity with pre-training and post-training processes for LLMs or foundation models.
Categories
About ByteDance
ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok. Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. We are committed to building a safe, healthy and positive online environment for all our users. We have over 110,000 employees based in more than 30 countries globally. Join us.