Responsibilities
- Research and develop machine learning algorithms for recommendation systems across short-video, live-streaming, social, content, and e-commerce scenarios.
- Apply large language models to infer user intent and address recommendation cold-start problems.
- Use graph neural networks and full-lifecycle user behavior sequences to model social preferences and improve interest prediction.
- Explore large-model generalization, long-context awareness, and end-to-end modeling to improve real-time and exploratory recommendations.
- Collaborate with R&D experts to build scalable, high-quality technical solutions for products serving hundreds of millions of users.
Requirements
- PhD degree in artificial intelligence, computer science, mathematics, or a related field.
- Strong programming skills and a solid foundation in software design and coding practices.
- Outstanding problem-solving and analytical skills, passion for technology, communication skills, and teamwork.
- Familiarity with machine learning, natural language processing, and/or data mining.
- Prior experience in recommendation systems, computational advertising, or search engines is preferred.
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.