AI Infrastructure Research Intern – Distributed Systems

ByteDance; Seattle (WA); On-site; USD 59,000 - 84,000; Part time

Benefits offered by this job

Health insurance

Life insurance

Wellbeing benefits

10 days paid holidays per year

Paid sick time

Housing allowance (if not remote)

Job summary

ByteDance invites a campus intern to join the Seed Infrastructures team in Seattle, focusing on distributed training, RL framework, and high-performance inference for AI foundation models. You will help build scalable training, inference, and compiler components while collaborating with researchers and engineers.

The role emphasizes hands-on development in Python and/or C/C++, with exposure to large-scale systems and performance optimization.

Qualifications

• Bachelor's or Master's degree in computer science, mathematics, engineering, or related field.
• Strong programming skills with solid foundations in algorithms and data structures; proficient in Python or C/C++.
• Experience with systems programming, distributed systems, compilers, or performance optimization through coursework, research, or projects.

Responsibilities

• Contribute to infrastructure and systems for large-scale models.
• Support development of efficient and scalable components across training platforms, inference systems, compilers, and distributed systems.
• Implement and optimize system modules, tooling, or frameworks.
• Collaborate with researchers and engineers to support research and system development.

Skills

Python

C/C++

Algorithms & data structures

Systems programming

Distributed systems

Compilers

Performance optimization

Education

Bachelor's or Master's degree in CS/Math/Engineering

Job description

ByteDance invites a campus intern to join the Seed Infrastructures team in Seattle, focusing on distributed training, RL framework, and high-performance inference for AI foundation models. You will help build scalable training, inference, and compiler components while collaborating with researchers and engineers.

The role emphasizes hands-on development in Python and/or C/C++, with exposure to large-scale systems and performance optimization.