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研究工程师毕业生 - 2027年入职

雇主

ByteDance

地点

Washington · Seattle · 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

Design and build scalable infrastructure for large-scale AI model training, evaluation, and inferenc

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
- Design and build scalable infrastructure for large-scale model training, evaluation, and inference.
- Optimize distributed training systems across compute, memory, and communication.
- Improve system reliability, efficiency, and observability for large-scale workloads.
- Develop frameworks for evaluation, data processing, and model lifecycle management.
- Co-design systems and algorithms to improve performance of foundation models.

申请条件

Minimum Qualifications:
- Individuals who are completing or have recently completed a PhD degree in Computer Science, Electrical Engineering, Electrical and Computer Engineering, Physics, Mathematics, or a related discipline.
- Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python, etc.
- Experience in distributed systems, large-scale training infrastructure, or ML systems.
- Familiarity with deep learning frameworks and system optimization.
Preferred Qualifications:
- Strong problem-solving and engineering skills.
- Strong communication and collaboration skills.

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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