PhD Intern: Generative Recs, LLMs & RL for Personalization

TikTok; San Jose (CA); On-site; USD 68,191 - 97,120; Full time

Benefits offered by this job

Health insurance

10 paid holidays

Paid sick time

Housing allowance (if applicable)

Job summary

TikTok is seeking a PhD Intern to join its US Core Recommendation Team in San Jose, California. This role involves conducting cutting-edge research in recommendation systems, focusing on areas such as large-scale data analysis and multimodal integration.

The ideal candidate is currently pursuing a PhD in Computer Science or related fields and has strong programming skills in Python. The position offers an hourly rate of $60 and provides access to health benefits and paid holidays.

Qualifications

• Currently pursuing a PhD degree in a relevant field.
• Hands-on research experience in recommendation systems.
• Strong foundation in data structures and algorithms.

Responsibilities

• Conduct research in recommendation systems.
• Analyze large-scale user behavior data.
• Collaborate with cross-disciplinary teams.

Skills

Research in recommendation systems

Proficiency in Python

Knowledge of ML frameworks

Analytical problem-solving skills

Education

Currently pursuing a PhD degree

Tools

PyTorch

TensorFlow

Job description

TikTok is seeking a PhD Intern to join its US Core Recommendation Team in San Jose, California. This role involves conducting cutting-edge research in recommendation systems, focusing on areas such as large-scale data analysis and multimodal integration.

The ideal candidate is currently pursuing a PhD in Computer Science or related fields and has strong programming skills in Python. The position offers an hourly rate of $60 and provides access to health benefits and paid holidays.