Responsibilities
- Optimize resource efficiency in distributed orchestration and scheduling for large-scale ML workloads.
- Develop and optimize scheduling strategies, autoscaling, resource requests, preemption, eviction, resource sharing, and multi-cluster or multi-cloud deployment.
- Build distributed training runtimes for ultra-large embeddings and GPU-synchronized recommendation models.
- Design distributed computing APIs and runtimes for recommendation and advertising model training paradigms such as reinforcement learning, fine-tuning, and distillation.
- Improve the diagnosability and usability of distributed training platforms.
- Construct online distributed inference architecture for ultra-large-scale embedding and recommendation systems.
- Improve online recommendation architecture and MLOps processes by integrating business research and experimental models.
Requirements
- Bachelor's degree or above in Computer Science or a similar field.
- At least 5 years of experience and proficiency in Go or Python in a Linux environment, with excellent hands-on coding skills.
- Practical and development experience with distributed scheduling frameworks such as Kubernetes, Godel, Yarn, Mesos, or Celery, and experience with machine learning systems.
- Strong understanding of distributed-systems principles and experience designing, developing, and maintaining large-scale distributed systems.
- Excellent logical analysis and business-logic abstraction skills.
- Strong responsibility, learning ability, communication skills, self-motivation, and responsiveness.
- Good documentation habits, including maintaining work processes and technical documentation.
- Familiarity with at least one mainstream machine learning framework such as PyTorch or TensorFlow is preferred.
- Experience in AI infrastructure, hardware/software co-design, high-performance computing, or ML hardware architecture is preferred.
- Experience using or designing training orchestration systems such as veRL, vLLM, Ray, or TFX is preferred.
Tech Stack
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.