Graduate Big Data Engineer: TikTok Recommendation

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

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.