Software Engineer Intern; Applied Machine Learning-Enterprise PhD

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

Location:

San Jose

Team:
Technology

Employment Type:

Intern

Job Code: A10411A

• Building a next-generation big model as a service platform to serve hundreds of LLMs based applications
• Developing and maintaining the big model as a service platform, including offline training/fine tuning, online inference, model management, and resource orchestration, etc.
• Managing a huge number of GPU resources and providing computing power efficiently

• Currently pursuing a PhD in Computer Science or related technical field
• Proficient in deep learning frameworks such as PyTorch or Tensor Flow
• 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

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

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The hourly rate range for this position in the selected city is $60- $60.

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.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.

Byte Dance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at