AI Systems Research Intern: Large-Scale ML Infra

Bytedance; San Jose, Northern (CA, KY); Hybrid; USD 25,000 - 39,000; Part time

Job summary

ByteDance Seed in San Jose is seeking an intern to contribute to the Seed Infrastructures team. You will help build and optimize infrastructure for large-scale AI foundation models, collaborating with researchers and engineers across training platforms, inference systems, compilers, and distributed components.

The role provides exposure to distributed systems, high-performance computing, and cutting-edge ML workloads, with opportunities to contribute to both research and practical system

Qualifications

• Pursuing a Bachelor’s degree in CS, ECE, ECE, Physics, or Math with strong academic performance.
• Strong programming skills in Python or C/C++.
• Experience with systems programming, distributed systems, compilers, or performance optimization.

Responsibilities

• Contribute to infrastructure and systems for large-scale models.
• Support development of scalable components across training, inference, 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

Distributed systems

Education

Bachelor's degree in Computer Science, Electrical Engineering, Electrical and Computer Engineering, Physics, or Mathematics

Tools

Profiling tools

Debugging tools

Job description

ByteDance Seed in San Jose is seeking an intern to contribute to the Seed Infrastructures team. You will help build and optimize infrastructure for large-scale AI foundation models, collaborating with researchers and engineers across training platforms, inference systems, compilers, and distributed components.

The role provides exposure to distributed systems, high-performance computing, and cutting-edge ML workloads, with opportunities to contribute to both research and practical system