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.
Requirements
- Complete or recently complete a bachelor's degree in computer science, electrical engineering, electrical and computer engineering, physics, mathematics, or a related discipline.
- Demonstrate excellent coding ability and knowledge of data structures and fundamental algorithms.
- Be proficient in C, C++, or Python.
- Demonstrate interest or project experience in relevant areas.
- Experience with distributed systems or machine learning systems through internships is preferred.
- Demonstrate strong problem-solving and collaboration skills.
Categories
About ByteDance
ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok. Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. We are committed to building a safe, healthy and positive online environment for all our users. We have over 110,000 employees based in more than 30 countries globally. Join us.