Job Description

The Applied Machine Learning Enterprise team combines system engineering and machine learning to develop and operate massively distributed machine learning training, inference systems and services to serve both the big model vendors and users around the world. You'll have the opportunity to build and enrich your expertise in coding, performance analysis and large system management, and get heavily involved in the process of hardware/capacity decision-making.

In the engineering team, you'll have the opportunity to build the large scale heterogeneous system integrating with GPU/RDMA/Storage and keep it running stable and reliable, enrich your expertise in coding, performance analysis and distributed system, be involved in the process of hardware/capacity decision-making.

We are looking for talented individuals to join us for an internship in 2026. 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.

Applications will be reviewed on a rolling basis. We encourage you to apply early. 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 (select one) and its affiliates' jobs globally.
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. It runs for 12 weeks and begins in August/September 2026. Successful candidates must be able to commit to one of the following start dates below:

(Select below options for Fall)
- 8/10/2026
- 8/24/2026
- 9/8/2026
- 9/21/2026

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. 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.

Candidates who pass resume evaluation will be invited to participate in ByteDance's technical online assessment through CodeSignal.

Responsibilities:
- Building a next-generation big model as a service platform to serve hundreds of LLMs based applications;
- To develop and maintain the big model as a service platform, including offline training/finetuning, online inference, model management, and resource orchestration, etc.;
- To manage a huge number of GPU resources and provide computing power efficiently.

annually.