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Student Researcher - 2026 Start

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Student Researcher - 2026 Start in USA

  • ByteDance
  • Full time
  • Email
  • Seattle, WA

Responsibilities

  • Design and optimize large-scale distributed training systems, including parallelism, memory efficiency, and fault tolerance.
  • Contribute to reinforcement learning training frameworks and large-scale post-training systems.
  • Improve foundation-model inference performance, latency, and throughput.
  • Develop compiler or runtime optimizations for heterogeneous hardware such as GPUs and accelerators.
  • Perform system-level performance analysis, profiling, and bottleneck diagnosis.
  • Build tooling and automation to improve developer productivity and system reliability.

Requirements

  • Currently pursuing a PhD in Computer Science, Electrical Engineering, or a related technical field.
  • Strong programming skills in Python and/or C++.
  • Solid understanding of systems, distributed computing, machine learning systems, or performance optimization.
  • Experience with distributed training frameworks, reinforcement learning training systems, GPU programming, or compiler technologies.
  • Preferred: experience with large-scale ML systems or infrastructure projects, open-source ML systems or performance tooling contributions, and publications in ML systems or distributed systems.

ByteDance

ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok. Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This...

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