Software Engineer - Recommendation Infrastructure, TikTok Video Social
Tiktok
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About The Team:
The Recommendation Architecture - Social Team is responsible for building and optimizing the architecture of our recommendation system to provide the best social experience for our TikTok users.
Responsibilities:
• 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
• At least 2 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.
Summary
Build scalable recommendation systems, data pipelines, and high-performance online services.
Job title
Software Engineer - Recommendation Infrastructure, TikTok Video Social
Experience level
2+ years
Minimum experience
2+ years exp
Industry
software
Location requirements
San Jose, CA; remote work not specified
Salary
Not specified
Visa sponsorship
H-1B sponsor history
Management role
No
Required skills
Preferred skills
Specializations
Structured locations inferred from the posting.
San Jose, CA, USA