ML Engineer Intern: Ads Platform & Monetization

TikTok; San Jose (CA); On-site; USD 51,000 - 73,000; Part time

Job summary

TikTok is seeking motivated students for a campus internship to contribute to its Global Monetization Product and Technology teams. You will gain hands-on experience building large-scale ads systems and applying machine learning across feeds, live streaming, and branding solutions.

Interns will work with product and business teams to shape product vision and growth strategies while exploring potential career paths in a fast-paced tech environment.

Qualifications

• Currently pursuing a Bachelor's or above degree in CS/SE or related field.
• Strong grounding in machine learning concepts and techniques.
• Excellent programming, debugging, and optimization skills in Go, C/C++, Python.
• Experience with ML frameworks such as TensorFlow, PyTorch or MXNet.

Responsibilities

• Participate in the development of a large-scale Ads system.
• Develop state-of-the-art applied machine learning projects.
• Own key targeting components or strategies in the TikTok ads monetization ecosystem.
• Collaborate with product and business teams on product vision.

Skills

Go

C/C++

Python

ML concepts

Bachelor's degree in CS/CE

Education

Bachelor's degree in Computer Science/Software Engineering

Tools

TensorFlow

PyTorch

MXNet

Job description

TikTok is seeking motivated students for a campus internship to contribute to its Global Monetization Product and Technology teams. You will gain hands-on experience building large-scale ads systems and applying machine learning across feeds, live streaming, and branding solutions.

Interns will work with product and business teams to shape product vision and growth strategies while exploring potential career paths in a fast-paced tech environment.