ByteDance Seed team is dedicated to discovering new approaches to general intelligence, and pushing the boundaries of AI. Our research spans large language models, speech, vision, world models, AI infrastructure, next-generation interfaces and more. With a long-term vision and determination in AI, the ByteDance Seed team remains committed to foundational research. We aim to become a world-class AI research team that drives real technological progress and delivers societal benefits.
Requirements
- Currently pursuing a PhD in Machine Learning, Artificial Intelligence, or a related field.
- Strong analytical mindset and ability to reason from first principles.
- Demonstrated interest in model evaluation, interpretability, or theoretical grounding of LLM capabilities.
- Familiarity with LLMs or large-scale model training dynamics.
- Experience with designing or analyzing model benchmarks, probing tools, or failure modes.
- Exposure to AGI-related concepts, open-ended evaluation, or long-horizon generalization.
- Research publications in top-tier venues such as NeurIPS, ICLR, ICML, ACL, EMNLP.
Responsibilities
- Explore the intrinsic consistency of foundation models across pre-training and post-training stages, and help characterize their capability ceilings.
- Design evaluation protocols grounded in model internal mechanisms, with a focus on interpretability and failure analysis.
- Develop novel benchmarks and testing paradigms to systematically evaluate models.
- Contribute to defining evaluation standards for next-generation intelligent systems, including Agent Foundation Models and long-horizon research agents.
Other
- Currently pursuing a PhD in Machine Learning, Artificial Intelligence, or a related field.
- Please state your availability clearly in your resume (Start date, End date).
- Applications will be reviewed on a rolling basis – we encourage you to apply early.
