Brand Ads ML Engineer: Scale Delivery & Forecasting

TikTok; San Jose (CA); On-site; USD 162,000 - 317,000; Full time

Job summary

TikTok is seeking engineers to build the delivery and inventory systems that enable guaranteed delivery products at global scale. You will own the path from forecasting and allocation through pacing, traffic strategy, and brand safety, partnering with Product, Strategy, Data Science, and other engineers to turn opportunities into scalable capabilities.

You will help design, implement, and iterate on the delivery stack, drive concepts to launch with cross-functional partners, and translate

Qualifications

• BS/MS in Computer Science, a related field, or equivalent practical experience.
• Strong coding, debugging, and system design fundamentals.
• Proficiency in Go, C/C++, Java, Python, or similar languages.
• Comfort with ambiguity and the judgment to make clear engineering trade-offs.
• Strong cross-functional communication and collaboration skills.
• Experience with large-scale backend, recommendation, or advertising systems.

Responsibilities

• Build and optimize the delivery stack across pacing, allocation, traffic strategy, and delivery controls.
• Drive products from concept to launch with Product, Strategy, and cross-functional partners.
• Turn business goals into scalable delivery strategies and system designs.
• Own technical design, implementation, experimentation, launch, and iteration.
• Use data and experiments to diagnose problems and drive fast iteration.

Skills

Go

C/C++

Java

Python

System design

Cross-functional collaboration

Education

BS/MS in Computer Science or related field

Job description

TikTok is seeking engineers to build the delivery and inventory systems that enable guaranteed delivery products at global scale. You will own the path from forecasting and allocation through pacing, traffic strategy, and brand safety, partnering with Product, Strategy, Data Science, and other engineers to turn opportunities into scalable capabilities.

You will help design, implement, and iterate on the delivery stack, drive concepts to launch with cross-functional partners, and translate