Graduate ML Engineer — Performance Monetization

TikTok; San Jose (CA); On-site; USD 128,000 - 256,000; Full time

Job summary

TikTok is hiring a General Hire Machine Learning Engineer for Performance Monetization, starting in 2027 in San Jose. You will join the Global Monetization teams, tackling large-scale ads systems and advanced ML projects, with opportunities to influence targeting components and collaboration with product teams.

Ideal candidates hold a CS/SE/CE degree (or near graduation), have ML fundamentals, and proficiency in Go, C/C++, Python and ML frameworks.

Qualifications

• Bachelor's degree or higher in CS/Software Engineering/CE or related field, completed or expected within 12 months.
• Strong grounding in machine learning concepts and techniques.
• Excellent coding, debugging and optimization in Go, C/C++, Python.

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

ML concepts

Programming (Go/C++/Python)

Critical thinking

ML frameworks (TensorFlow/PyTorch/MXNe

Ads system / recommendations

Education

Bachelor's degree or higher in CS/SE/CE or related

Tools

TensorFlow

PyTorch

MXNet

Job description

TikTok is hiring a General Hire Machine Learning Engineer for Performance Monetization, starting in 2027 in San Jose. You will join the Global Monetization teams, tackling large-scale ads systems and advanced ML projects, with opportunities to influence targeting components and collaboration with product teams.

Ideal candidates hold a CS/SE/CE degree (or near graduation), have ML fundamentals, and proficiency in Go, C/C++, Python and ML frameworks.