Applied ML Platform Intern — Big-Model Services

ByteDance; San Jose (CA); On-site; USD 49,593 - 82,656; Part time

Benefits offered by this job

Health insurance

Life insurance

Wellbeing benefits

Paid holidays

Job summary

ByteDance invites a PhD student to join as Software Engineer Intern (Applied Machine Learning-Enterprise) in San Jose. You will contribute to building a scalable big model-as-a-service platform supporting hundreds of LLM-based applications, covering offline training, online inference, and model management.

Collaboration across teams will be essential to optimize GPU resource usage. The role emphasizes strong software engineering skills in C++, Python or Go, and experience with PyTorch or

Qualifications

• Pursuing a PhD in Computer Science or related field.
• Proficient in PyTorch or TensorFlow.
• Experience with C++, Python or Go for software development.

Responsibilities

• Build and maintain a next-generation big model as a service platform for LLM-based applications.
• Handle offline training/finetuning, online inference, model management and resource orchestration.
• Manage large GPU resources and provide efficient computing power.

Skills

C++

Python

Go

Teamwork

Communication

Code design

Education

PhD in Computer Science

Tools

PyTorch

TensorFlow

Job description

ByteDance invites a PhD student to join as Software Engineer Intern (Applied Machine Learning-Enterprise) in San Jose. You will contribute to building a scalable big model-as-a-service platform supporting hundreds of LLM-based applications, covering offline training, online inference, and model management.

Collaboration across teams will be essential to optimize GPU resource usage. The role emphasizes strong software engineering skills in C++, Python or Go, and experience with PyTorch or