Student Researcher (AI Foundation Models Infrastructure – Seed Infra) – 2026 Start

ByteDance
San Jose
Workplace: OnsiteInternshipFunction: Research & Scientific (R&D)Skills: ["Analytical thinking","Problem-solving","Collaboration","Ability to work in fast-paced environments"]

Support the Seed Infrastructures team building large-scale distributed training and reinforcement learning pipelines for AI foundation models. Work on improving inference performance (latency, throughput, stability), profiling and benchmarking systems, and contributing to compiler/runtime optimizations for GPUs and other accelerators. Develop internal tools and automation to boost infrastructure efficiency and collaborate with researchers and engineers to translate model requirements into scalable system solutions.

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FursaFursa
ByteDance
ByteDance
7 hours ago

Student Researcher (AI Foundation Models Infrastructure – Seed Infra) – 2026 Start

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Last checked: 1 day agoStatus: Live

Job Summary

Support the Seed Infrastructures team building large-scale distributed training and reinforcement learning pipelines for AI foundation models. Work on improving inference performance (latency, throughput, stability), profiling and benchmarking systems, and contributing to compiler/runtime optimizations for GPUs and other accelerators. Develop internal tools and automation to boost infrastructure efficiency and collaborate with researchers and engineers to translate model requirements into scalable system solutions.
Location: San Jose
Workplace: Onsite
Employment Type: Internship
Job Function: Research & Scientific (R&D)
Seniority: Intern level

Key Responsibilities

  • •Assist in building and optimizing large-scale distributed training systems (e.g., data/model parallelism, memory efficiency, reliability).
  • •Support reinforcement learning training pipelines and post-training systems.
  • •Improve inference performance, including latency, throughput, and system stability.
  • •Contribute to compiler or runtime optimizations for GPU and other accelerators.
  • •Conduct performance analysis, profiling, benchmarking, and bottleneck identification; develop internal tools and automation to improve infrastructure efficiency and developer productivity.

Key Requirements

  • •Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related technical field.
  • •Proficiency in at least one programming language such as Python or C++.
  • •Familiarity with machine learning frameworks such as PyTorch or similar tools.
  • •Strong analytical and problem-solving skills.
  • •Ability to work collaboratively in a fast-paced technical environment and interest in long-term ML systems/AI infrastructure work.
Experience:Machine learningAI infrastructure
Education:
Skills:Analytical thinkingProblem-solvingCollaborationAbility to work in fast-paced environments
Tech Stack:PythonC++PyTorchGPUAcceleratorsDistributed trainingReinforcement learning

Company Brief

ByteDance
Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Headquarters: Beijing, China
Founded: 2012
WebsiteLinkedIn