PhD Research Scientist Intern - Recommendation Systems

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

Benefits offered by this job

Health insurance

Life insurance

Wellbeing benefits

Paid holidays

Housing allowance

Job summary

TikTok is seeking a PhD intern for the Recommendation group in San Jose to contribute to production-quality recommendation models and ML research. You will work with a team of researchers and engineers to drive product impact, optimize algorithms, and scale ML infrastructure in a fast-paced environment.

Internship offers hands-on learning, exposure to state-of-the-art techniques, and opportunities to collaborate across teams while developing professional skills and contributing to TikTok's

Qualifications

• PhD student in CS or related technical discipline.
• Strong coding and algorithms in C++/Python.
• Experience with ML and at least one DL framework.

Responsibilities

• Build industry-leading recommendation system to improve UX and growth.
• Deliver end-to-end ML solutions for product challenges.
• Own full-stack ML system and optimize algorithms and infrastructure.
• Collaborate with cross-functional teams on product strategies.

Skills

C++/Python

Machine Learning

Deep Learning

NLP

CV

Recommender Systems

Communication

Teamwork

Education

PhD in Computer Science

Tools

PyTorch

TensorFlow

Job description

TikTok is seeking a PhD intern for the Recommendation group in San Jose to contribute to production-quality recommendation models and ML research. You will work with a team of researchers and engineers to drive product impact, optimize algorithms, and scale ML infrastructure in a fast-paced environment.

Internship offers hands-on learning, exposure to state-of-the-art techniques, and opportunities to collaborate across teams while developing professional skills and contributing to TikTok's