Building Scalable Recommendation Systems
1 week ago
This is a unique opportunity to take on a leadership role in shaping the architectural direction of our recommendation system. As a key member of our team, you will be responsible for designing and implementing high-performance computing frameworks and storage systems that meet the evolving needs of our users.
Responsibilities:
- Lead a small team of software engineers working on recommendation system
- Build and maintain high-performance online services for TikTok recommendation system
- Design and develop high-performance computing frameworks and storage systems
- Oversee the acquisition and development of software systems in organisational units
- Monitor the results and quality of the different software solutions and projects implemented in the organisation
- Provide technical expertise on the development of software and platform features
Qualifications:
- Bachelor's degree or above, majoring in Computer Science, or related fields, with 3+ years of experience building scalable system;
- Experience in programming, included but not limited to, C, C++, Java or Golang;
- Effective communication skills and a sense of ownership and drive;
- Experienced in at least one area of personalised recommendations, search engine, machine learning, distributed storage system, big data frameworks.
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our mission is to inspire creativity and bring joy. We aim to create an environment that reflects the many communities we reach and celebrate our diverse voices.
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