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研究科学家实习生 - 2026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 Scientist Intern to build and maintain a large-scale Model-as-a-Service platform for LLM ap

岗位职责

The Applied Machine Learning Enterprise team combines system engineering and machine learning to develop and operate a big model service platform that offers businesses Model-as-a-Service solutions (MaaS) to both the big model vendors and users.
We are actively seeking talented Software Engineers specializing in Large Language Models (LLM) to join our team.
We are looking for talented individuals to join us for an internship in 2026. Internships at ByteDance aim to offer students industry exposure and hands-on experience.
Watch your ambitions become reality as your inspiration brings infinite opportunities at ByteDance.
PhD internships at ByteDance provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies.
Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts.
Applications will be reviewed on a rolling basis - we encourage you to apply early.
Please state your availability clearly in your resume (Start date, End date).
Responsibilities:
- Building a next-generation big model as a service platform to serve hundreds of LLMs based applications;
- To develop and maintain the big model as a service platform, including offline training/finetuning, online inference, model management, and resource orchestration, etc.;
- To manage a huge number of GPU resources and provide computing power efficiently.

申请条件

Currently pursuing a PhD in Computer Science, Engineering, or a related field.
Experience with system engineering and machine learning, particularly large language models (LLM).
Strong programming skills and familiarity with distributed systems, GPU resource management, and model serving.

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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