· For book keeping accounts. Record and classify all accounting transactions. Make sure correct accounts, posts, verifies and balances debit and credit entries. Manage accurate and timely closing of books for the monthly and yearly.
Design and execute persona/role-playing evaluation frameworks, covering metrics such as identity recognition, role compatibility, multi-turn stability, and style consistency.
Master's degree or above, with at least 3 years of hands-on experience in Reinforcement Learning (RL), Reinforcement Learning from Human Feedback (RLHF), or Reinforcement Learning with Verifiable Rewards (RLVR). Experience in Agent-related projects is preferred.
Design and execute persona/role-playing evaluation frameworks, covering metrics such as identity recognition, role compatibility, multi-turn stability, and style consistency.
Master's degree or above, with at least 3 years of hands-on experience in Reinforcement Learning (RL), Reinforcement Learning from Human Feedback (RLHF), or Reinforcement Learning with Verifiable Rewards (RLVR). Experience in Agent-related projects is preferred.
Take ownership of the full machine learning lifecycle and transition models from local research prototypes into scalable, highly available production environments.
Design and execute persona/role-playing evaluation frameworks, covering metrics such as identity recognition, role compatibility, multi-turn stability, and style consistency.
Master's degree or above, with at least 3 years of hands-on experience in Reinforcement Learning (RL), Reinforcement Learning from Human Feedback (RLHF), or Reinforcement Learning with Verifiable Rewards (RLVR). Experience in Agent-related projects is preferred.
Design and execute persona/role-playing evaluation frameworks, covering metrics such as identity recognition, role compatibility, multi-turn stability, and style consistency.
Master's degree or above, with at least 3 years of hands-on experience in Reinforcement Learning (RL), Reinforcement Learning from Human Feedback (RLHF), or Reinforcement Learning with Verifiable Rewards (RLVR). Experience in Agent-related projects is preferred.
Master's degree or above, with at least 3 years of hands-on experience in Reinforcement Learning (RL), Reinforcement Learning from Human Feedback (RLHF), or Reinforcement Learning with Verifiable Rewards (RLVR). Experience in Agent-related projects is preferred.
Team Introduction: The Data-Global E-Commerce team serves as the core technological engine for ByteDance's Global E-commerce. We specialize in pioneering algorithmic and big data innovations within the E-commerce sector, driven by our mission: "To make a beautiful life readily accessible and to help unique, high-quality products reach a global market." Our work involves: Developing advanced recommendation and search algorithms to help users efficiently discover products that match their interests. Leveraging cutting-edge risk control and platform governance technologies to ensure a secure shopping environment for all users. Constructing a comprehensive product knowledge graph and intelligent customer service systems to elevate the intelligence of every stage of the transaction process. Integrating machine learning with operations research algorithms to continuously optimize supply chain and logistics efficiency, thereby reducing operational costs. Providing merchants with intelligent business tools that empower them to enhance their operational efficiency and customer service experience. By joining us, you will collaborate with world-class product and technology teams, leveraging ByteDance's extensive traffic and data ecosystem to drive the deep integration and application of technology across various e-commerce scenarios.
Design and execute persona/role-playing evaluation frameworks, covering metrics such as identity recognition, role compatibility, multi-turn stability, and style consistency.
Design and execute persona/role-playing evaluation frameworks, covering metrics such as identity recognition, role compatibility, multi-turn stability, and style consistency.
Contribute to the project's foundational knowledge by documenting the shared technical understanding and implementation details aligned with high-level business requirements and project goals.
Contribute to the project's foundational knowledge by documenting the shared technical understanding and implementation details aligned with high-level business requirements and project goals.