AI Foundation Model Infrastructure Scientist

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

Paid Holidays and Sick Days

Job summary

ByteDance in Seattle is seeking candidates pursuing a PhD in a relevant field to design and build scalable infrastructure for large-scale model training. The ideal candidate will have excellent coding abilities, especially in C/C++ or Python, and experience in distributed systems or ML.

The role offers a competitive salary range of $232,560 to $427,500 annually and a comprehensive benefits package including medical, dental, vision insurance, and paid time off.

Qualifications

• Currently pursuing a PhD with graduation expected in 2027.
• Excellent coding ability and skills in data structures and algorithms.
• Experience with distributed systems and ML systems.

Responsibilities

• Design and build scalable infrastructure for model training and inference.
• Optimize distributed training systems across compute, memory, and communication.
• Improve system reliability and efficiency for large-scale workloads.

Skills

C/C++

Python

Distributed Systems

Large-scale Training Infrastructure

Education

PhD in Computer Science, Mathematics, Engineering or related field

Job description

ByteDance in Seattle is seeking candidates pursuing a PhD in a relevant field to design and build scalable infrastructure for large-scale model training. The ideal candidate will have excellent coding abilities, especially in C/C++ or Python, and experience in distributed systems or ML.

The role offers a competitive salary range of $232,560 to $427,500 annually and a comprehensive benefits package including medical, dental, vision insurance, and paid time off.