ML Engineer: Ad Targeting & ROI Optimization

TikTok Inc.; San Jose (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

TikTok Inc. is seeking a Machine Learning Engineer to advance ads targeting through state-of-the-art ML techniques. You will own core targeting components, build scalable pipelines, and collaborate with cross-functional teams to align product vision with data-driven insights.

Ideal candidates have hands-on ML experience, strong programming skills in Python/C++/Go, and a track record with high-load systems. Join a global team delivering next-generation ad targeting features.

Qualifications

• BS/MS degree in Computer Science, Statistics, Operations Research, Applied Mathematics or similar quantitative field.
• Hands-on experience with machine learning, deep learning or statistical models.
• Strong coding skills in Python, C++ or Go; experience with high-load systems.

Responsibilities

• Develop state-of-the-art applied machine learning projects.
• Own key targeting components in TikTok ads monetization ecosystem.
• Build scalable platforms and data pipelines for ads targeting products.
• Collaborate with product and business teams on product vision.

Skills

Machine learning

Deep learning

Statistical models

Applied mathematics

Python

C++

Go

Online experimentation

Education

BS/MS in CS/Statistics/Applied Math

Job description

TikTok Inc. is seeking a Machine Learning Engineer to advance ads targeting through state-of-the-art ML techniques. You will own core targeting components, build scalable pipelines, and collaborate with cross-functional teams to align product vision with data-driven insights.

Ideal candidates have hands-on ML experience, strong programming skills in Python/C++/Go, and a track record with high-load systems. Join a global team delivering next-generation ad targeting features.