Responsibilities
- Support local video services and improve user discovery of hospitality, dining, and leisure experiences.
- Improve local-services search experiences and contribute to ecosystem growth.
- Apply large-scale machine learning to search and recommendation scenarios serving billions of users.
- Design and implement search algorithms covering query analysis, relevance, recall, coarse ranking, fine ranking, and blended ranking.
- Build personalized behavior models, CTR and CVR prediction, vector recall, and value-blending capabilities.
- Improve user shopping experiences and conversion efficiency.
Requirements
- Strong analytical and problem-solving skills.
- Strong foundation in machine learning and deep learning, with experience in NLP and personalization.
- Exceptional coding skills and solid knowledge of data structures and algorithms.
- Proficiency in Linux development environments.
- Prior experience in search, recommendation, or advertising algorithms is preferred.
- Familiarity with local life-services and e-commerce businesses is preferred.
Tech Stack
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.