Recommender Systems Intern - ML & Data Pipelines

TikTok; San Jose (CA); On-site; USD 55,000 - 69,000; Full time

Job summary

TikTok is seeking interns for the Video team to work on the systems behind the For You Feed, bridging machine learning and large-scale data pipelines. Interns will gain hands-on experience, exposure to industry practices, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for growth.

Responsibilities include building globalized recommendation components, crafting efficient data pipelines, and assisting in production operations and release

Qualifications

• Currently pursuing a Bachelor's degree in Computer Science or a related technical discipline.
• Experience in programming languages: C, C++, Java or Golang.
• Effective communication skills and a sense of ownership and drive.

Responsibilities

• Build globalized large-scale recommendation system.
• Build efficient and reliable data pipelines for candidates generation, ranking, profile generation, training examples generation, real-time online training.
• Coach AI to perform release process and production operations, including online anomaly detection and release safeguards.

Skills

C

C++

Java

Golang

Communication skills

Education

Bachelor's degree in CS or related

Master's degree in CS (preferred)

Job description

TikTok is seeking interns for the Video team to work on the systems behind the For You Feed, bridging machine learning and large-scale data pipelines. Interns will gain hands-on experience, exposure to industry practices, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for growth.

Responsibilities include building globalized recommendation components, crafting efficient data pipelines, and assisting in production operations and release