Research Scientist Intern (Applied Machine Learning-Enterprise) - 2026 Start (PhD)

ByteDance; San Jose (CA); On-site; USD 68,191 - 97,120; Full time

Benefits offered by this job

Health insurance

Life insurance

Wellbeing benefits

Paid holidays

Paid sick time

Housing allowance

Job summary

ByteDance invites a PhD candidate for a Research Scientist Intern (Applied Machine Learning-Enterprise) in San Jose. The role focuses on building a big model-as-a-service platform and advancing LLM-based applications.

You will work on offline/online ML workflows, model management, and scalable GPU orchestration, with potential NLP/LLM research exposure and top-tier conference contribution opportunities.

Qualifications

• Pursuing a PhD in CS or related field.
• Proficient in DL frameworks such as PyTorch or TensorFlow.
• Experience programming in C++, Python, or Go.
• Strong teamwork and communication; experience with relevant business scenarios preferred.
• Solid software programming and clean coding practices.

Responsibilities

• Build a next-gen big model-as-a-service platform for hundreds of LLMs-based apps.
• Develop and maintain the platform with offline training/finetuning, online inference, model mgmt, and resource orchestration.
• Manage a large pool of GPU resources and ensure efficient computing power.

Skills

PyTorch

TensorFlow

C++

Python

Go

Teamwork

Code design

Education

PhD in Computer Science or related field

Job description

Research Scientist Intern (Applied Machine Learning-Enterprise) - 2026 Start (PhD)

Location: San Jose

Team: Technology

Employment Type: Intern

Job Code: A76846A

Responsibilities

The Applied Machine Learning Enterprise team combines system engineering and machine learning 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. We are actively seeking talented Software Engineers specializing in Large Language Models (LLM) to join our team. We are looking for talented individuals to join us for an internship in 2026.

• Building a next-generation big model as a service platform to serve hundreds of LLMs based applications
• Develop and maintain the big model as a service platform, including offline training/finetuning, online inference, model management, and resource orchestration
• 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

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

Job Information

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

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.

Location‑Specific Information (Los Angeles County)

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:

• Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
• Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems;
• Exercising sound judgment.

Legal Notice

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