Description:
Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation system to provide the most stable and best experience for our users. We work closely with applied machine learning engineers and build scalable systems to support all kinds of innovative algorithms and techniques.
Responsibilities
- Build and maintain high performance online services for recommendation system;
- Build extremely efficient and reliable data pipelines for candidates generation, profile generation, training examples generation, realtime online training, etc;
- Build globalized large-scale recommendation system;
- Design and develop high performance computing frameworks and storage systems.
- Join the long-time task for building better index platform, feature platform, data center and other products in our team.
Qualifications
- Bachelor's degree or above, majoring in Computer Science, or related fields, with 1+ years of experience building scalable system;
- Experience in programming, included but not limited to, the following programming languages: C, C++, Java or Golang;
- Effective communication skills and a sense of ownership and drive;
- Experienced in at least one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus.