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Internship

Research Engineer Intern (Machine Learning System) - 2024 Summer (PhD)

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ByteDance

2mo ago

🚀 Summer Internship

Seattle

AI generated summary

  • You must be pursuing a PhD in computer science, skilled in C/C++ and Python, proficient in machine learning frameworks, and have experience in GPU programming or related areas. Curiosity, learning, and communication skills are valued.
  • You will work on developing and optimizing machine learning training frameworks, collaborating with algorithm departments to enhance algorithms and systems for key projects at ByteDance.

Summer Internship

Data, Software EngineeringSeattle

Description

  • We are looking for talented individuals to join us for an internship in 2024. Internships at ByteDance aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at ByteDance.

Requirements

  • Currently pursuing a PhD degree in computer science, software engineering, artificial intelligence, or related fields.
  • Proficiency in C/C++ and Python languages in the Linux environment.
  • Experience with at least one machine learning framework (TensorFlow/PyTorch/MxNet or other self-developed frameworks).
  • Background knowledge and experience in at least one of the following areas: GPU programming, compilers, high-performance networks, distributed storage, cluster scheduling.
  • Preferred Qualifications:
  • Strong curiosity, excellent learning, and communication skills.

Education requirements

PhD

Area of Responsibilities

Data
Software Engineering

Responsibilities

  • Participate in the research and development of machine learning training frameworks for AML, serving various products across the company.
  • Participate in the abstraction, design, optimization, and implementation of underlying components of machine learning training frameworks.
  • Collaborate with the company's algorithm department to jointly optimize algorithms and systems for key projects.

Details

Work type

Full time

Work mode

office

Location

Seattle