ByteDance's Applied Machine Learning Enterprise team needs to develop and operate a big model service platform that offers businesses Model-as-a-Service solutions (MaaS) to both big model vendors and users.
Requirements
- 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;
- Strong software programming capabilities, exhibits good code design and coding style;
- 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.
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.
Other
- Currently pursuing a PhD in Computer Science or related technical field;
- Good sense of teamwork and communication skills, practical experience in relevant business scenarios is preferred;
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
- Internships at ByteDance aim to offer students industry exposure and hands-on experience.
- 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.
