Responsibilities
- Provide algorithmic support for payments, credit purchase, credit loans, treasury, and funds businesses.
- Develop and apply causal inference, time-series learning, graph learning, reinforcement learning, weak supervision, and optimization techniques to financial growth scenarios.
- Build algorithmic applications for marketing, recommendation, advertising, search, and commercialization use cases.
- Explore LLM, Transformer, generative recommendation, generative marketing, marketing agent, cross-lingual intent, and automated strategy/modeling applications.
- Innovate algorithmic capabilities and deploy AI solutions using global business data across international markets.
Requirements
- Be completing or have recently completed a master’s degree in computer science, machine learning, data mining, or a related discipline.
- Have a solid grasp of data structures, machine learning, deep learning, and large models.
- Be proficient with frameworks such as TensorFlow and PyTorch.
- Demonstrate hands-on ability, fast learning, attention to current technological advances, and passion for AI.
- Foundational knowledge of deep learning, causal inference, time-series learning, graph learning, reinforcement learning, weakly supervised learning, NLP, knowledge graphs, or large language models is preferred.
- Algorithmic innovation, international conference papers, competition achievements, relevant algorithm application experience, and large-scale business deployment experience are 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.