ByteDance Student Researcher Internship-PAID

Description

The ByteDance Student Researcher Internship is open to students currently pursuing a bachelor’s or master’s degree in computer science, electrical engineering, or related technical fields. To be considered for this opportunity, you should have experience using or developing open source frameworks for LLM inference such as vLLM or SGLang and be proficient in at least one deep learning framework (e.g., PyTorch, Megatron, DeepSpeed, JAX), with experience in model inference workflows. You should also be familiar with compilers or model optimization pipelines (e.g., PyTorch Dynamo) and have an understanding of modern computing systems, including hardware, storage, and networking, and how they impact ML workloads. As an intern, you will assist with overseeing the distributed training, reinforcement learning framework, high-performance inference, and heterogeneous hardware compilation technologies for AI foundation models. This internship is offered in San Jose, CA.