Research Scientist: AI Infrastructure & Large-Scale ML

Bytedance; San Jose, Northern (CA, KY); Hybrid; USD 140,000 - 230,000; Full time

Job summary

ByteDance Seed team in San Jose is seeking researchers to design and build scalable infrastructure for large-scale model training, evaluation, and inference. You will optimize distributed systems, improve reliability, and develop frameworks for evaluation, data processing, and model lifecycle management.

Ideal candidates hold a PhD in CS/EE/Math, with strong coding in C/C++ and Python, and experience in DL frameworks and system optimization.

Qualifications

• PhD in CS, EE, or related field completed or near completion.
• Strong coding and data structures skills; proficient in C/C++ and Python.
• Experience with distributed systems and large-scale ML training.
• Familiar with DL frameworks and system optimization.

Responsibilities

• Design and build scalable infrastructure for large-scale model training, evaluation, and inference.
• Optimize distributed training systems across compute, memory, and communication.
• Improve reliability, efficiency, and observability for large-scale workloads.
• Develop frameworks for evaluation, data processing, and model lifecycle management.
• Co-design systems and algorithms to improve foundation model performance.

Skills

C/C++

Python

Distributed systems

Algorithms

Education

PhD in CS/EE/Math

Job description

ByteDance Seed team in San Jose is seeking researchers to design and build scalable infrastructure for large-scale model training, evaluation, and inference. You will optimize distributed systems, improve reliability, and develop frameworks for evaluation, data processing, and model lifecycle management.

Ideal candidates hold a PhD in CS/EE/Math, with strong coding in C/C++ and Python, and experience in DL frameworks and system optimization.