Applied ML Scientist, Recommender Systems

TikTok; San Jose (CA); On-site; USD 156,000 - 388,000; Full time

Job summary

TikTok in San Jose seeks PhD-level researchers and engineers to advance our next-generation recommendation system, enhancing user experience, content ecosystem and platform security.

You will own end-to-end machine learning systems, optimize algorithms and infrastructure, and collaborate with cross-functional teams to grow TikTok in key markets. The role emphasizes rigorous research, scalable solutions, and impactful product outcomes.

Qualifications

• PhD in Computer Science or related field completed or near completion.
• Strong knowledge of deep learning theory and empirical methods.
• Experience with PyTorch or TensorFlow and large-scale DL models.

Responsibilities

• Build industry-leading recommendation system, improving user experience and platform growth.
• Deliver end-to-end machine learning solution to address critical product challenges.
• Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance.
• Work with cross functional teams to design product strategies and build solutions to grow TikTok in important markets.

Skills

PhD in Computer Science

Deep Learning

Python

C/C++

PyTorch

TensorFlow

Shell scripting

Education

PhD in Computer Science

Tools

CUDA

Git

Job description

TikTok in San Jose seeks PhD-level researchers and engineers to advance our next-generation recommendation system, enhancing user experience, content ecosystem and platform security.

You will own end-to-end machine learning systems, optimize algorithms and infrastructure, and collaborate with cross-functional teams to grow TikTok in key markets. The role emphasizes rigorous research, scalable solutions, and impactful product outcomes.