Applied ML Engineer, Ads Monetization Platform

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

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

RSUs

401(k) match

Parental leave

Short/Long-term disability

Life insurance

Wellbeing benefits

Holidays

Sick days

Paid personal time

Job summary

TikTok is seeking a skilled engineer to help build next-generation monetization platforms and ad products across feeds, live streaming, branding, and targeting. You will contribute to large-scale ML initiatives and own pivotal components within the ads ecosystem, partnering with product teams to align vision and execution.

The role emphasizes strong programming, ML expertise, and the ability to translate product goals into technical solutions within a fast-growing tech environment.

Qualifications

• BS/MS in CS/CE or related field required.
• Strong grounding in machine learning concepts and techniques.
• Excellent programming, debugging, and optimization skills in Go, C/C++, Python.
• Experience with ML frameworks such as TensorFlow, PyTorch, MXNet.

Responsibilities

• Participate in the development of 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

ML theory

Debugging/Optimization

Critical thinking

Education

BS/MS in CS/CE

Tools

TensorFlow/PyTorch/MXNet

Job description

TikTok is seeking a skilled engineer to help build next-generation monetization platforms and ad products across feeds, live streaming, branding, and targeting. You will contribute to large-scale ML initiatives and own pivotal components within the ads ecosystem, partnering with product teams to align vision and execution.

The role emphasizes strong programming, ML expertise, and the ability to translate product goals into technical solutions within a fast-growing tech environment.