Responsibilities
- Design and implement distributed inference infrastructure for feed, advertising, and search ranking models.
- Build monitoring and management tools for the reliability and scalability of online inference servers.
- Diagnose system inefficiencies, bottlenecks, instability, and performance issues, then implement solutions.
- Collaborate with product teams to provide solutions that meet their requirements.
Requirements
- At least 3 years of experience developing and deploying large-scale systems.
- Experience contributing to an open-source machine learning framework such as TensorFlow, JAX, PyTorch, TorchScript, MXNet, or TensorRT.
- Strong background in hardware-software co-design, high-performance computing, ML hardware acceleration such as GPU/RDMA, or ML for systems.
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.