Research Scientist Intern – Recommender Systems

TikTok; San Jose, Northern (CA, KY); Hybrid; USD 68,000 - 97,000; Part time

Benefits offered by this job

Health insurance

Life insurance

Wellbeing benefits

Housing allowance (not remote)

Job summary

TikTok is seeking interns in San Jose to work on cutting-edge recommendation systems. This role targets PhD candidates who will contribute to production ML models, algorithmic improvements, and cross-functional collaboration to grow TikTok in key markets.

Responsibilities include building end-to-end ML solutions, optimizing systems, and delivering impactful enhancements to user experience and platform security. Applicants should clearly state start and end dates in their resume.

Qualifications

• PhD student in CS or related technical discipline.
• Proficient coding with C++/Python; familiar with ML frameworks (PyTorch, TensorFlow).
• Experience in ML areas: NLP, CV, or Recommender Systems; strong algorithmic background.
• Preferred: published papers, competition winners (ACM, Kaggle).

Responsibilities

• Build state-of-the-art recommendation system to enhance user experience and content ecosystem.
• Deliver end-to-end ML solutions addressing product challenges.
• Own full stack ML system; optimize algorithms and infrastructure for performance.
• Collaborate with cross-functional teams to guide product strategy and solutions for key markets.

Skills

C++ / Python

Machine Learning

PyTorch

Recommender Systems

Algorithms & Data Structures

Education

PhD in Computer Science or related field

Tools

PyTorch

TensorFlow

C++

Job description

TikTok is seeking interns in San Jose to work on cutting-edge recommendation systems. This role targets PhD candidates who will contribute to production ML models, algorithmic improvements, and cross-functional collaboration to grow TikTok in key markets.

Responsibilities include building end-to-end ML solutions, optimizing systems, and delivering impactful enhancements to user experience and platform security. Applicants should clearly state start and end dates in their resume.