Overview
Responsibilities About the team Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for recommendation system to provide the most stable and best experience for our TikTok users. We cover almost all short-text recommendation scenarios in TikTok, such as search suggestions, the video-related search bar, and comment entities. Our recommendation system
Full job description
Responsibilities About the team Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for recommendation system to provide the most stable and best experience for our TikTok users. We cover almost all short-text recommendation scenarios in TikTok, such as search suggestions, the video-related search bar, and comment entities. Our recommendation system supports personalized sorting for queries, optimizing the user experience and improving TikTok's search awareness. Responsibilities - Design and implement a reasonable offline data architecture for large-scale recommendation systems - Design and implement flexible, scalable, stable and high-performance storage and computing systems - Trouble-shooting of the production system, design and implement the necessary mechanisms and tools to ensure the stability of the overall operation of the production system - Build industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive date and large-scale business systems - Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software - Applying data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets - Visualise, interpret, and report data findings and may create dynamic data reports as well Qualifications Minimum Qualifications - Bachelor's degree or above, majoring in Computer Science, or related fields, with at least 1 year of experience - Familiar with many open source frameworks in the field of big data, e.g. Hadoop, Hive, Flink, FlinkSQL, Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch, etc. - Experience in programming, including but not limited to, the following programming languages: c, C++, Java or Golang - Effective communication skills and a sense of ownership and drive Preferred Qualifications - Experience of Peta Byte level data processing is a plus
Requirements: Qualifications Minimum Qualifications - Bachelor's degree or above, majoring in Computer Science, or related fields, with at least 1 year of experience - Familiar with many open source frameworks in the field of big data, e.g. Hadoop, Hive, Flink, FlinkSQL, Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch, etc. - Experience in programming, including but not limited to, the following programming languages: c, C++, Java or Golang - Effective communication skills and a sense of ownership and drive Preferred Qualifications - Experience of Peta Byte level data processing is a plus
Requirements & qualifications
Qualifications Minimum Qualifications - Bachelor's degree or above, majoring in Computer Science, or related fields, with at least 1 year of experience - Familiar with many open source frameworks in the field of big data, e.g. Hadoop, Hive, Flink, FlinkSQL, Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch, etc. - Experience in programming, including but not limited to, the following programming languages: c, C++, Java or Golang - Effective communication skills and a sense of ownership and drive Preferred Qualifications - Experience of Peta Byte level data processing is a plus
Tips for this job
Practical JobOpportunity guidance. These tips do not replace official rules or create new eligibility requirements.
- Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
- Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
- Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
- Apply through the original employer or official recruitment destination shown on this page.
JobOpportunity is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
Apply through JobOpportunity →