Graduate Research Scientist, Recommender Systems

TikTok; San Jose (CA); On-site; USD 128,000 - 317,000; Full time

Job summary

TikTok is seeking a General Hire Research Scientist Graduate for the TikTok Recommendation team in San Jose, starting in 2027. You will tackle end-to-end ML solutions and work with cross-functional teams to improve recommendations and platform performance.

Ideal candidates have a CS degree (Bachelor/Master), strong coding in C++/Python, and hands-on ML experience with DL frameworks like PyTorch or TensorFlow. Excellent communication and teamwork are essential.

Qualifications

• Bachelor’s or Master’s in CS or related field.
• Strong coding and data-structure knowledge in C++/Python.
• Experience with machine learning and at least one DL framework.
• Experience in NLP, CV, or recommender systems is a plus.
• Excellent communication and teamwork.

Responsibilities

• Build industry-leading recommendation system, improving user experience, content ecosystem and platform security.
• 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

C++

Python

Algorithms

Data structures

Education

Bachelor's or Master's in CS

Tools

PyTorch

TensorFlow

Job description

TikTok is seeking a General Hire Research Scientist Graduate for the TikTok Recommendation team in San Jose, starting in 2027. You will tackle end-to-end ML solutions and work with cross-functional teams to improve recommendations and platform performance.

Ideal candidates have a CS degree (Bachelor/Master), strong coding in C++/Python, and hands-on ML experience with DL frameworks like PyTorch or TensorFlow. Excellent communication and teamwork are essential.