Software Engineer Intern (Applied Machine Learning-Enterprise) - 2026 Start (PhD)

Public source summary from intern-list.com / Jobright.

ByteDance is a technology company developing products and platforms that inspire creativity and enrich life. The Applied Machine Learning Enterprise team is seeking a PhD Software Engineer Intern to help build and operate a large-model-as-a-service platform, develop model training and inference capabilities, and efficiently manage GPU resources.

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: 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 Strong software programming capabilities, exhibits good code design and coding style Practical experience in relevant business scenarios is preferred 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

Benefits: Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.