ByteDance

Responsibilities

Team Introduction

As an important part behind ByteDance, our team was established to help realize our company vision, building a global platform for creation and communication. We are doing world-class work in Large Language Model (LLM) and generative AI and transferring our works into ByteDance which are used by hundreds of millions of users around the world. As a vital AI infrastructure for the company, our machine learning system integrates our most up-to-date R&D results in AI algorithms and systems. Come and join us, you will get the chance of building large-scale machine learning systems, and working with the best AI system and algorithm researchers and engineers.

We are looking for talented individuals to join us for an internship in 2025. Internships at ByteDance aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at ByteDance.

Internships at ByteDance aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. This Internship Program runs for 12 weeks beginning in May/June 2025.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to Bytedance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

This internship provides students the opportunity to join one of our engineering teams where you will have the opportunity to:

• Design and development of resource scheduling, including model training, model evaluation and model inference in various scenarios (LLM/AIGC/NLP/CV/Speech, etc.)
• Optimize orchestration of various computing resources (GPU, CPU, other heterogeneous hardware), realizing the rational use of stable resources, tidal resources, mixed resources, and multi-cloud resources
• Optimize combination of computing resources, RDMA high-speed network resources, and storage resources, and giving full play to the power of large-scale distributed clusters
• Support offline and online workload scheduling in global data centers integrating multi-cloud scenarios to achieve rational distributions

Qualifications

Minimum Qualifications

• Currently pursuing a MS in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Familiar with machine learning algorithms and platforms.
• Able to commit to working for 12 weeks during summer 2025.
• Published papers at top conferences.
• Familiar with Go/Python/Shell in Linux environment.
• Familiar with at least one deep learning framework (TensorFlow, PyTorch, MXNet, or other).
• Ability to work independently and complete projects from beginning to end and in a timely manner.

Good communication and teamwork skills to clearly communicate technical concepts with other teammates.

• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications

• Graduating December 2025 onwards with the intent to return to degree program after the completion of the internship.