Big Data Engineer Graduate (TikTok Recommendation Architecture) - 2027 Start

TikTok Inc.; San Jose (CA); On-site; USD 128,000 - 317,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401(k) with company match

Parental leave

Short-term disability

Long-term disability

Life insurance

Wellbeing benefits

10 paid holidays per year

10 paid sick days per year

17 days Paid Personal Time

Job summary

TikTok Inc. is seeking graduates to join the Recommendation Architecture Team to design and optimize large-scale data architectures for our recommendation systems.

You will help ensure stability, high availability, and efficient data flows across online and offline systems while tackling challenging data problems. Candidates should be near completion of a Bachelor's in CS or related field and must be able to onboard by the end of the year.

Qualifications

• Must have or be completing a Bachelor's degree in Computer Science or related field.
• Strong familiarity with open source big data frameworks (Hadoop, Hive, Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch).
• Proficient in Java and C++, and other programming languages.
• Excellent coding and troubleshooting abilities with a passion for learning new tech.

Responsibilities

• Design and implement offline data architecture for large-scale recommendation systems.
• Build flexible, scalable, high-performance storage and computing systems.
• Troubleshoot production systems and ensure overall operation stability.
• Develop distributed storage and computing infrastructure for massive data.
• Apply data mining and ML techniques to extract insights from large datasets.
• Visualise data findings and create dynamic data reports.

Job description

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.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.