Machine Learning Engineer — Creative Ads at Scale

TikTok; San Jose (CA); On-site; USD 156,000 - 317,000; Full time

Job summary

TikTok is seeking a software engineer to help build and optimize large-scale ads experiences. You will work on applied machine learning for creative and landing page understanding, generation, and optimization, enabling advertisers, creators, and partners to deliver engaging content at scale.

The role emphasizes collaboration with product teams, a strong ML background, and hands-on development across the ad tech stack. This is a dynamic opportunity at TikTok's US teams.

Qualifications

• Strong programming in Go, C/C++, or Python.
• Solid knowledge of ML concepts and techniques.
• Experience with ML frameworks such as TensorFlow, PyTorch, or MXNet.
• Clear communication and analytical problem-solving abilities.

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

Go

C/C++

Python

ML concepts

Debugging

Education

BS/MS in CS or related

Tools

TensorFlow

PyTorch

MXNet

Job description

TikTok is seeking a software engineer to help build and optimize large-scale ads experiences. You will work on applied machine learning for creative and landing page understanding, generation, and optimization, enabling advertisers, creators, and partners to deliver engaging content at scale.

The role emphasizes collaboration with product teams, a strong ML background, and hands-on development across the ad tech stack. This is a dynamic opportunity at TikTok's US teams.