ML Engineer, Ads Monetization (PhD Graduate)

TikTok; San Jose (CA); On-site; USD 162,000 - 317,000; Full time

Job summary

TikTok is seeking a PhD-ready Machine Learning Engineer Graduate to join the General Hire track for Performance Monetization, starting in 2027 in San Jose. You will contribute to large-scale ads systems and monetization products, applying advanced ML methods to optimize targeting, measurement, and revenue growth.

As part of the GMPT-Performance Monetization team, you will collaborate with product and tech partners, tackle challenging problems, and pursue bold ideas with onboarding commitments

Qualifications

• PhD in Computer Science, Software Engineering, Computer Engineering, or related field (completed or within 12 months of graduation).
• Strong ML theory and practice with programming proficiency.
• Expertise in Go, C/C++, Python; knowledge of ML frameworks.

Responsibilities

• Participate in development of large-scale ads systems and monetization platforms.
• Develop state-of-the-art applied machine learning projects.
• Own targeting components within the TikTok ads ecosystem.
• Collaborate with product and business teams on vision.

Skills

Machine learning

Go

C/C++

Python

Education

PhD in CS/related field

Tools

TensorFlow

PyTorch

MXNet

Job description

TikTok is seeking a PhD-ready Machine Learning Engineer Graduate to join the General Hire track for Performance Monetization, starting in 2027 in San Jose. You will contribute to large-scale ads systems and monetization products, applying advanced ML methods to optimize targeting, measurement, and revenue growth.

As part of the GMPT-Performance Monetization team, you will collaborate with product and tech partners, tackle challenging problems, and pursue bold ideas with onboarding commitments