ML Engineer, Ads Monetization Platform

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

Job summary

TikTok is seeking a skilled ML/Software Engineer to join the Monetization Technology team in the United States. You will contribute to building large-scale ads systems, develop state-of-the-art applied machine learning projects, and own targeting components in the TikTok ads ecosystem, collaborating with product and business teams on vision and priorities.

Candidates should have a BS/MS in CS/CE, strong ML grounding, and proficiency in Go, C/C++, or Python, plus experience with TensorFlow,

Qualifications

• BS/MS degree in CS, CE or related majors.
• Strong ML theory and practical experience.
• Proficient in Go, C/C++, or Python.
• Experience with ML frameworks: TensorFlow, PyTorch, MXNet.
• Strong analytical and problem-solving abilities.

Responsibilities

• Develop and scale a large Ads system component.
• Advance state-of-the-art applied machine learning projects.
• Own key targeting components in the TikTok ads monetization ecosystem.
• Collaborate with product and business teams on product vision.

Skills

Machine Learning

Go

C/C++

Python

TensorFlow

PyTorch

MXNet

Ads systems

Problem Solving

Education

BS/MS degree in CS/CE or related majors

Job description

TikTok is seeking a skilled ML/Software Engineer to join the Monetization Technology team in the United States. You will contribute to building large-scale ads systems, develop state-of-the-art applied machine learning projects, and own targeting components in the TikTok ads ecosystem, collaborating with product and business teams on vision and priorities.

Candidates should have a BS/MS in CS/CE, strong ML grounding, and proficiency in Go, C/C++, or Python, plus experience with TensorFlow,