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学生研究员——2027年入职

雇主

ByteDance

地点

California · San Jose · 美国

待遇

$面议

工作模式

线下

截止日期

1月7日

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岗位摘要

Contribute to infrastructure and systems for large-scale AI foundation models, supporting training p

岗位职责

About the team
The Seed Infrastructures team oversees the distributed training, reinforcement learning framework, high-performance inference, and heterogeneous hardware compilation technologies for AI foundation models.
Responsibilities
- Contribute to infrastructure and systems for large-scale models.
- Support development of efficient and scalable components across areas such as 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.

申请条件

Minimum Qualifications
- Individuals who are completing or have recently completed a Bachelor's degree in Computer Science, Electrical Engineering, Electrical and Computer Engineering, Physics, Mathematics, or a related discipline.
- Strong programming skills and solid foundation in algorithms, data structures, and systems, proficient in Python or C/C++.
- Experience with systems programming, distributed systems, compilers, or performance optimization through coursework, research, or projects.
Preferred Qualifications
- Experience with large-scale systems, parallel or distributed computing, or performance optimization. Familiarity with system design, debugging, and profiling tools.
- Strong problem-solving ability and ability to work collaboratively in a technical environment.

雇主简介

ByteDance is a global technology company known for its content platforms, and its infrastructure team builds and manages hyper-scale data centers worldwide, focusing on power and energy management for data center operations.

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数据来源:ByteDance

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