Software Engineer, Recommendation Infrastructure
TikTok, San Jose, California
- Pay
- Not listed by the employer
- Work type
- Not stated
- Level
- Not stated
- Area
- Infra, platform & SRE, Inference & ML systems, ML / AI engineering
- Posted
- Not stated
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About the role
About The Team 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 TikTok users.
Responsibilities - What You'll Do - Build and maintain high performance online services for TikTok 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.
Requirements Minimum Qualifications - Bachelor's degree or above, majoring in Computer Science or related fields, with 3-5 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.
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Listed; checked 13 h ago. First seen by us 13 h ago. Being listed doesn't mean the team is actively interviewing.