Software Engineer Intern — Search & Data Infrastructure

TikTok Inc.; San Jose (CA); On-site; USD 28,000 - 48,000; Part time

Job summary

TikTok is seeking interns to join our Search Engineering and Data Infrastructure teams in San Jose. You will work on query/video pipelines, feature engineering platforms, and large-scale data ingestion to enable real-time recommendations and search capabilities.

This role provides hands-on experience with distributed systems, NLP/ML integration, and data infrastructure at a global scale. Ideal candidates are pursuing a Bachelor's (preferred Master’s) in Computer Science or related fields, with

Qualifications

• Currently pursuing a Bachelor's degree in Computer Science or a related technical discipline.
• Strong programming skills in Java, C++, or Python.
• Production experience with data frameworks such as Spark, Flink, or Hive/Iceberg.
• Solid distributed systems fundamentals, and the ability to debug and optimize complex systems in production.

Responsibilities

• Build and own query/video pipelines - ingestion, enrichment, and streaming/batch index construction at billion-doc scale with near-real-time freshness.
• Develop the feature engineering platform: computation, backfill, storage, and serving, with strong online/offline consistency guarantees.
• Build streaming and batch sample pipelines that turn user actions and features into high-quality training data.
• Improve data quality, observability, and cost efficiency across PB-scale storage and compute.

Skills

Java

C++

Python

Education

Bachelor's degree in CS

Master's degree in CS

Tools

Spark

Flink

Hive

Iceberg

Job description

TikTok is seeking interns to join our Search Engineering and Data Infrastructure teams in San Jose. You will work on query/video pipelines, feature engineering platforms, and large-scale data ingestion to enable real-time recommendations and search capabilities.

This role provides hands-on experience with distributed systems, NLP/ML integration, and data infrastructure at a global scale. Ideal candidates are pursuing a Bachelor's (preferred Master’s) in Computer Science or related fields, with