Summer ML Engineer Intern: Ads & Recommendations

TikTok; San Jose (CA); On-site; USD 109,602,000 - 148,285,000; Full time

Benefits offered by this job

Health insurance

Paid holidays

Housing allowance

Job summary

TikTok is seeking an intern for the Commerce Ads team in San Jose. You will build scalable ML systems to improve ads ranking, explore new features, and collaborate with Product Managers and Designers on next-generation shopping experiences.

The role requires pursuing a CS/CE degree, strong programming (Go, C/C++, Python), Linux experience, and knowledge of ML frameworks. This is a 12-week Summer 2027 internship with benefits and housing considerations where applicable.

Qualifications

• Currently pursuing a Bachelor's or above degree in Computer Science, Computer Engineering, or a related technical discipline.
• Solid programming skills in Go, C/C++, Python; familiarity with data structures and algorithms; Linux development experience.
• Strong analytical thinking and knowledge in statistics.
• Foundational machine learning concepts (CNN/RNN/LSTM, etc.).
• Familiar with at least one mainstream ML framework (TensorFlow/PyTorch/MXNet).
• Able to commit to a 12-week full-time internship during Summer 2027.

Responsibilities

• Build scalable ML systems and models to improve ads ranking quality and optimize advertiser strategies (CTR/CVR, etc.).
• Explore and experiment with new features to improve model accuracy.
• Understand ads platform objectives and apply ML to improve relevance and quantity of ads for end-users.
• Collaborate with Product Managers and Designers to shape next-gen shopping experiences on TikTok.

Skills

Go

C/C++

Python

Linux

Statistics

ML frameworks

Education

Bachelor's or above in CS/CE/related technical field

Tools

TensorFlow/PyTorch/MXNet

Job description

TikTok is seeking an intern for the Commerce Ads team in San Jose. You will build scalable ML systems to improve ads ranking, explore new features, and collaborate with Product Managers and Designers on next-generation shopping experiences.

The role requires pursuing a CS/CE degree, strong programming (Go, C/C++, Python), Linux experience, and knowledge of ML frameworks. This is a 12-week Summer 2027 internship with benefits and housing considerations where applicable.