Responsibilities
- Conduct research and development on large-scale infrastructure for training foundation models, multimodal LLMs, and image/video generation models.
- Design and optimize distributed training strategies, including data, model, pipeline, and expert parallelism.
- Improve computation, communication, throughput, networking, scheduling, and GPU memory management across the training stack.
- Research reliability and resilience techniques including fast checkpointing, fault tolerance, and failure diagnosis.
- Analyze performance bottlenecks in exascale training systems and develop data-driven optimization methods.
- Translate research ideas into scalable, production-ready infrastructure solutions.
Requirements
- Deep expertise in large-scale distributed training of LLMs and multimodal models.
- Strong systems research background with demonstrated ability to design, build, and optimize large-scale ML systems.
- Proven experience with data, model, pipeline, and expert parallelism and performance optimization on large GPU clusters.
- Strong programming skills and hands-on experience implementing production-grade ML systems or infrastructure.
- Solid understanding of algorithm–system co-design and cross-layer optimization for training efficiency, scalability, and reliability.
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.