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 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 2025. Internships at TikTok 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 12-24 weeks and begins in May/June 2025 or August/September 2025. Successful candidates must be able to commit to one of the following start dates below:

(Select below options for Summer)

• Monday, May 12
• Monday, May 19
• Tuesday May 27 (Memorial Day May 27)
• Monday, June 9
• Monday, June 23

(Select below options for Fall)

• Monday, August 11
• Monday, August 25
• Monday, September 8
• Monday, September 22

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 HackerRank.

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 BS/MS degree 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.