LLM Training Infrastructure Research Engineer

ByteDance; Seattle (WA); On-site; USD 232,560 - 427,500; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) savings plan with company match

Paid parental leave

Short-term and long-term disability coverage

Life insurance

Job summary

ByteDance is seeking a skilled professional for the Seed Infrastructures team in Seattle, focusing on research and development for large-scale LLM training infrastructure. The candidate should be proficient in designing and optimizing distributed training strategies and analyzing performance bottlenecks in systems.

The ideal applicant will have strong programming skills in Python and/or C++, along with experience in ML systems and training infrastructure development. The position offers a competitive salary and a comprehensive benefits package.

Qualifications

• Experience with large-scale distributed training for LLMs.
• Strong programming skills in Python and/or C++.
• Solid understanding of training stack internals (PyTorch, CUDA, NCCL).

Responsibilities

• Conduct research and development on large-scale LLM training infrastructure.
• Design and optimize distributed training strategies for LLMs.
• Analyze performance bottlenecks in exascale training systems.

Skills

Experience with large-scale distributed training for LLMs

Strong programming skills in Python and/or C++

Strong background in ML systems / training infrastructure development

Proficiency in parallelism strategies (DDP, FSDP, model/pipeline/expert parallelism)

Solid understanding of training stack internals (PyTorch, CUDA, NCCL)

Experience in performance optimization (memory, communication, throughput)

Job description

ByteDance is seeking a skilled professional for the Seed Infrastructures team in Seattle, focusing on research and development for large-scale LLM training infrastructure. The candidate should be proficient in designing and optimizing distributed training strategies and analyzing performance bottlenecks in systems.

The ideal applicant will have strong programming skills in Python and/or C++, along with experience in ML systems and training infrastructure development. The position offers a competitive salary and a comprehensive benefits package.