Research Scientist, Large-Scale ML Infrastructure

ByteDance; Seattle (WA); On-site; USD 202,160 - 368,220; Full time

Job summary

ByteDance Seed is seeking a student intern to contribute to scalable infrastructure for large-scale model training, evaluation, and inference here in the United States. You will help optimize distributed training systems and improve reliability and observability on cutting-edge workloads.

You will also develop evaluation, data processing, and model lifecycle frameworks, collaborating to co-design algorithms that boost foundation model performance.

Qualifications

• Pursuing Bachelor's or Master's degree with expected graduation in 2027.
• Excellent coding ability, data structures, and fundamental algorithm skills; proficient in C/C++ or Python.
• Demonstrated interest or project experience in relevant areas.

Responsibilities

• Design and build scalable infrastructure for large-scale model training, evaluation, and inference.
• Optimize distributed training systems across compute, memory, and communication.
• Improve system 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 performance of foundation models.

Skills

C/C++

Python

Data structures

Education

Bachelor's or Master's degree

Job description

ByteDance Seed is seeking a student intern to contribute to scalable infrastructure for large-scale model training, evaluation, and inference here in the United States. You will help optimize distributed training systems and improve reliability and observability on cutting-edge workloads.

You will also develop evaluation, data processing, and model lifecycle frameworks, collaborating to co-design algorithms that boost foundation model performance.