Backend Software Engineer, Recommendations - USDS

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Our Recommendation Architecture Team is responsible for building and optimizing the architecture for our recommendation system to provide the 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, real-time online training, etc; - Build globalized large-scale recommendation system; - Design and develop high performance computing frameworks and storage systems. In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.
Minimum Qualifications: - Bachelor's degree or above, majoring in Computer Science or related fields - 3+ years of experience building scalable system - Experience in programming, included but not limited to, the following programming languages: C, C++, Java or Golang Preferred Qualifications: - 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. As a condition of employment, all successful candidates must be able to establish authorization to work in the United States. For this position, the Company does not provide sponsorship for any immigration-related benefits.
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Location:
Seattle

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