The TikTok Feeds Recommendation Architecture team is responsible for the design and development of TikTok's For You Feed recommendation system, aiming to abstract and generalize core infrastructure services, components, and productivity tools that empower the recommendation system at scale.
Requirements
- Solid programming and algorithm foundations; proficient in Python, Go, C++, or other programming languages.
- Strong backend development skills, including but not limited to storage, service orchestration, caching, and concurrency.
- Knowledge of machine learning and familiarity with at least one mainstream machine learning framework (e.g., TensorFlow or PyTorch).
- Experience in designing high-traffic service architectures or working extensively with distributed computing.
Responsibilities
- Participate in the engineering architecture requirement alignment, design, and implementation for various scenarios related to TikTok content understanding.
- Contribute to improving R&D efficiency across content understanding scenarios, including but not limited to testing, deployment, monitoring, and root cause analysis.
- Responsible for optimizing system stability, performance, and scalability across different scenarios.
Other
- Bachelor's degree or above in Computer Science, Software Engineering, or a related field.
- Good product sense, strong problem-solving skills, and excellent teamwork and communication abilities.
