Responsibilities
- Improve recommendation models and strategies across recall, coarse ranking, fine ranking, and mixed ranking stages.
- Optimize deep conversion models to improve prediction accuracy for lifetime value, payment rate, and retention rate.
- Improve advertising targeting, bidding, and mechanism strategies while balancing customer experience and monetization efficiency.
Requirements
- Strong foundation in data structures, mathematical statistics, and probability theory.
- Excellent coding ability; proficiency in Python, C++, or Go is preferred.
- Strong theoretical foundation in machine learning and deep learning.
- Proficiency in at least one mainstream deep learning programming framework.
- Good product awareness and willingness to prioritize product outcomes.
- Experience with deep learning models in advertising or recommendation businesses is preferred.
- Experience with bidding products or algorithms is preferred.
- Gaming industry or platform-oriented internet product experience is advantageous.
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.