ML Engineer, Monetization Tech & Ads Platform

TikTok; San Jose (CA); On-site; USD 254,000 - 480,000; Full time

Job summary

TikTok is seeking a technically strong engineer for its Monetization Technology team in San Jose. You will contribute to a large-scale ads system, develop cutting-edge ML components, and own targeting strategies within the TikTok ads ecosystem.

You will collaborate with product and business teams to align technical work with product vision, applying expertise in Go, C/C++, Python and ML frameworks to drive impact across billions of users.

Qualifications

• BS/MS degree in Computer Science, Computer Engineering, or other relevant majors.
• Experience in and good theoretical grounding in machine learning concepts and techniques.
• Excellent programming, debugging, and optimization skills in one or more general purpose programming languages, including but not limited to: Go, C/C++, Python.
• Experience in one or more of the following frameworks: TensorFlow/PyTorch/MXNet, etc.
• Ability to think critically and formulate solutions to problems clearly and concisely.

Responsibilities

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

Education

BS/MS degree in Computer Science, Computer Engineering, or other relevant majors

Tools

Go

C/C++

Python

TensorFlow

PyTorch

MXNet

Job description

TikTok is seeking a technically strong engineer for its Monetization Technology team in San Jose. You will contribute to a large-scale ads system, develop cutting-edge ML components, and own targeting strategies within the TikTok ads ecosystem.

You will collaborate with product and business teams to align technical work with product vision, applying expertise in Go, C/C++, Python and ML frameworks to drive impact across billions of users.