AI/ML Infrastructure Engineer for Large-Scale LLMs

TikTok

San Jose (CA)

On-site

USD 128,000 - 256,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, and vision insurance
401(k) with company match
Paid parental leave
Disability coverage
Wellbeing benefits

Job summary

TikTok is hiring for a role focused on building the next generation of AI infrastructure. You will work on distributed training and online inference systems powering billions of recommendations and large language models, collaborating with researchers to deploy LLM training and serving solutions.

The position requires strong C++/Python skills, experience with PyTorch or TensorFlow, and a solid understanding of transformers and GPUs.

Qualifications

  • Bachelor's or Master's in Artificial Intelligence, Software Development, Computer Science, or Computer Engineering.
  • Strong programming in C++ or Python; good understanding of data structures, algorithms, and computer systems.
  • Familiarity with PyTorch or TensorFlow; knowledge of Transformer architectures and LLMs.

Responsibilities

  • Build and optimize infrastructure for large-scale model training and online inference.
  • Develop distributed systems supporting large recommendation models and LLMs.
  • Improve training and inference performance through GPU optimization and efficient communication.
  • Collaborate with researchers to develop and deploy LLM training and serving solutions.
  • Analyze system bottlenecks and implement performance optimizations.

Education

Bachelor's or Master's in AI/CS/CE or related field

Tools

PyTorch
TensorFlow
CUDA

Job description

TikTok is hiring for a role focused on building the next generation of AI infrastructure. You will work on distributed training and online inference systems powering billions of recommendations and large language models, collaborating with researchers to deploy LLM training and serving solutions.

The position requires strong C++/Python skills, experience with PyTorch or TensorFlow, and a solid understanding of transformers and GPUs.

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