PhD Research Scientist Intern — Recommender Systems

TikTok; San Jose (CA); On-site; USD 68,000 - 97,000; Full time

Benefits offered by this job

Health insurance

Housing allowance

Paid holidays

Job summary

TikTok is seeking PhD interns for its Recommendation organization in the United States. This internship focuses on building and deploying world-class recommendation systems that power user experiences and platform growth.

You will work with ML researchers and engineers on end-to-end ML solutions, collaborating across teams to shape product strategies in key markets while gaining hands-on experience with cutting-edge frameworks like PyTorch and TensorFlow.

Qualifications

• Pursuing a PhD in computer science or a related technical discipline.
• Proficient in coding with C++/Python or similar languages.
• Experience in Machine Learning and at least one Deep Learning framework.

Responsibilities

• Build and improve recommendation systems to enhance user experience and growth.
• Deliver end-to-end ML solutions addressing product challenges.
• Own full-stack ML systems and optimize algorithms and infrastructure.

Skills

C++

Python

Algorithms

Machine Learning

Communication

Education

PhD in CS or related field

Tools

PyTorch

TensorFlow

NLP

Computer Vision

Recommender Systems

Job description

TikTok is seeking PhD interns for its Recommendation organization in the United States. This internship focuses on building and deploying world-class recommendation systems that power user experiences and platform growth.

You will work with ML researchers and engineers on end-to-end ML solutions, collaborating across teams to shape product strategies in key markets while gaining hands-on experience with cutting-edge frameworks like PyTorch and TensorFlow.