ByteDance

Responsibilities

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 steady 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. Watch your ambitions become reality as your inspiration brings infinite opportunities at ByteDance.

PhD internships at ByteDance provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts.

Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date).

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.

Qualifications

Minimum Qualifications:

• Currently pursuing a PhD in Computer Science or related technical field;
• Proficient in deep learning frameworks such as PyTorch or TensorFlow;
• Experience with software development in at least one of the following programming languages: C++, Python, Go;
• Good sense of teamwork and communication skills, practical experience in relevant business scenarios is preferred;
• Strong software programming capabilities, exhibits good code design and coding style;
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications:

• Experience in NLP and LLM technologies;
• Experience or research in Alignment for Large language models;
• Experience in ModelOps, for example large model management, finetuning workflow management, etc.;
• Contribution to top-tier conference papers, including NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, KDD, etc. is a big plus.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy

If you have any questions, please reach out to us at apac-earlycareers@bytedance.com