Responsibilities
- Design and optimize live broadcast recommendation architecture and affiliated products.
- Develop live broadcast SaaS recommendation systems and deliver core recommendation capabilities to partners.
- Abstract architecture and optimize processes for recommendation scenarios while supporting large-scale machine learning optimization.
- Improve stability, performance, scalability, and cost efficiency for high-concurrency and high-throughput systems.
- Research, design, develop, and optimize core components and apply new technologies.
- Develop software solutions, enhance existing software capabilities, and direct software testing and validation procedures.
- Collaborate with computer hardware engineers to integrate hardware and software systems and define specifications and performance requirements.
Requirements
- Bachelor’s degree or above in Computer Science or a related field.
- Programming experience in one or more of C, C++, Java, or Golang.
- Solid programming ability with strong design and code style.
- Effective communication skills and a sense of ownership and drive.
- Experience in personalized recommendations, search engines, machine learning, distributed storage systems, or big-data frameworks is preferred.
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.