ML Engineer, Contextual Targeting — Ads Platform

TikTok; San Jose (CA); On-site; USD 156,000 - 387,600; Full time

Benefits offered by this job

Medical insurance

Dental & Vision coverage

401(k) with company match

Paid parental leave

Paid time off

Job summary

TikTok is seeking a Machine Learning Engineer for Contextual Targeting in San Jose. You will help build and optimize large-scale ads systems, developing state-of-the-art applied machine learning projects that drive monetization for brand ads.

You will own key targeting components within the TikTok ads ecosystem, collaborate with product and business teams, and contribute to a fast-paced environment focused on high performance, scalability, and impact.

Qualifications

• Strong grounding in machine learning concepts and techniques.
• Experience with multimodal content understanding and LLMs.
• Proficiency in PyTorch or TensorFlow.
• Ability to own features from conception to deployment in ads systems.

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.

Skills

ML concepts

Multimodal ML

PyTorch

TensorFlow

Ownership

Deployment

Job description

TikTok is seeking a Machine Learning Engineer for Contextual Targeting in San Jose. You will help build and optimize large-scale ads systems, developing state-of-the-art applied machine learning projects that drive monetization for brand ads.

You will own key targeting components within the TikTok ads ecosystem, collaborate with product and business teams, and contribute to a fast-paced environment focused on high performance, scalability, and impact.