ML Engineer, Ads Monetization Platform — Scale Impact

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

Benefits offered by this job

Medical, dental, vision

401(k) with company match

Paid parental leave

Wellbeing benefits

Job summary

TikTok Inc. is seeking a technically strong researcher/developer to help build next-generation monetization platforms. You will participate in large-scale ad systems, lead ML projects, and own core targeting components in our monetization ecosystem.

Collaborate with product and business teams to shape vision and strategy, applying deep ML skills and robust software practices. This full-time role is based in California with competitive compensation and benefits.

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 Go, C/C++, Python.
• Experience with frameworks such as TensorFlow, PyTorch, MXNet.

Responsibilities

• Participate in developing a large-scale Ads system.
• Develop 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

Go

C/C++

Python

Machine learning concepts

Critical thinking

Education

BS/MS in Computer Science/Engineering

Tools

TensorFlow

PyTorch

MXNet

Job description

TikTok Inc. is seeking a technically strong researcher/developer to help build next-generation monetization platforms. You will participate in large-scale ad systems, lead ML projects, and own core targeting components in our monetization ecosystem.

Collaborate with product and business teams to shape vision and strategy, applying deep ML skills and robust software practices. This full-time role is based in California with competitive compensation and benefits.