Responsibilities 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. The team is responsible for system stability and high availability, online services and offline data flow performance optimization, solving system bottlenecks, reducing cost overhead, building data and service mid-platform, realizing flexible and scalable high-performance storage and computing systems. We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. 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 data 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 - Apply 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 Qualification(s) - Individuals who are completing or have recently completed a Bachelor's degree in Computer Science or a related discipline. - 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. - Familiar with Java, C ++ and other programming languages - Strong coding and trouble shooting ability - Willing to challenge questions that have no obvious answers, and have a strong enthusiasm for learning new technologies Preferred Qualifications: - Experience of Peta Byte level data processing is a plus Job Information [For Pay Transparency]Compensation Description (Annually) The base salary range for this position in the selected city is $128000 - $316800 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure). The Company reserves the right to modify or change these benefits programs at any time, with or without notice.