ByteDance · Seed
Algorithm Engineering Intern · Code Evaluation
- Built task-generation and evaluation pipelines for feature implementation, test generation, and repository-level code understanding, including automated environments, multilingual support, and distributed execution.
- Designed a four-stage rule-based difficulty funnel for millions of test-generation candidates. The filtered score distribution matched Best-of-N while substantially reducing its inference dependency.
- Developed a repository-understanding pipeline that parses documentation and code structure, locates key modules, and produces verifiable facts and QA pairs for tens of thousands of mid-training and RL samples.
- Led a frontend Agent-as-a-Judge pipeline that converts prompts and generated pages into UI tasks and rubrics. A 2K+ black-box benchmark achieved 90%+ human–AI scoring agreement.