Research Intern (Frontier AI Systems) - 2027 Start (PhD)
ByteDance, San Jose, California
What you will do
- Conduct research and build prototypes for next-generation AI systems spanning large-scale training, post-training, reinforcement learning, inference, retrieval, and agentic workloads.
- Study bottlenecks and design trade-offs across the stack, including communication, scheduling, storage, observability, runtime efficiency, memory behavior, and serving infrastructure.
- Develop benchmarking and evaluation methodologies that capture not only raw performance, but also system efficiency, scalability, robustness, and cost under realistic AI workloads.
- Explore new system designs in areas such as distributed training and RL systems, inference optimization, retrieval and memory architectures, agent infrastructure, and heterogeneous hardware-software co-design.
- Work closely with researchers and engineers to turn ideas into prototype systems, empirical insights, and technical proposals that can influence future infrastructure directions.
- Communicate results through clear technical writing, experimental analysis, and collaborative discussion.