Software Engineer - Content Understanding, TikTok Feeds

About the Team:

The Tik Tok Feeds Recommendation Architecture team is responsible for the design and development of Tik Tok's For You Feed recommendation system. Our scope spans the entire online and offline recommendation pipeline, including strategy, modeling, and data infrastructure. We build scalable and efficient infrastructure to support rapid algorithm iteration, tackle massive throughput challenges, and enhance system performance, cost-efficiency, and stability. Our mission is to abstract and generalize core infrastructure services, components, and productivity tools that empower the recommendation system at scale.

Responsibilities:

• What You'll Do
• Participate in the engineering architecture requirement alignment, design, and implementation for various scenarios related to Tik Tok 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.

Requirements:

• Minimum Qualifications
• Bachelor's degree or above in Computer Science, Software Engineering, or a related field.
• 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.
• Good product sense, strong problem-solving skills, and excellent teamwork and communication abilities.

Preferred Qualifications:

• Knowledge of machine learning and familiarity with at least one mainstream machine learning framework (e.g., Tensor Flow or Py Torch).
• Experience in designing high-traffic service architectures or working extensively with distributed computing.