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研究实习生 - 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8日

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岗位摘要

Research Intern to develop AI, ML, and optimization algorithms for large-scale infrastructure system

岗位职责

ByteBrain is ByteDance’s AI for Infrastructure (AI4Infra) platform, dedicated to improving the efficiency, reliability, and intelligence of large-scale infrastructure systems through AI and machine learning.
ByteBrain supports a wide range of infrastructure domains, including AI data center supply chains, AIOps, Operations Research and AgentOps, powering infrastructure optimization at massive scale.
Why This Role Is Unique
This role sits at the intersection of: Operations Research × AIOps × AI for Infra
You will have the opportunity to solve some of the most challenging optimization problems behind large-scale AI datacenters while pioneering the next generation of AI-powered decision-making systems, where LLMs, and optimization algorithms work together to improve efficiency, resource utilization, and operational intelligence across ByteDance's global infrastructure.
We are looking for talented individuals to join us for an internship.
PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies.
Our dynamic internship experience blends hands-on learning, enriching community-building and professional development events, and collaboration with industry experts.
Applications will be reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume (Start date, End date). Responsibilities
- Design and develop AI, machine learning, and optimization algorithms to improve the efficiency, reliability, and performance of large-scale infrastructure systems and AI supply chain.
Areas may include AIOps, operations research, software engineering, AgentOps, and system optimization.
- Drive the deployment, scaling, and continuous improvement of algorithms in production environments, supporting large-scale services.
- Identify optimization opportunities and emerging challenges from real-world infrastructure scenarios, translating them into impactful research and engineering solutions.
- Conduct cutting-edge research and publish high-quality papers in top-tier conferences and journals.

申请条件

PhD student. Availability to start in 2027. Must clearly state availability (start date, end date) in resume.

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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