Senior ML Engineer, Brand Ads Delivery & Forecasting

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

Job summary

TikTok is seeking an engineer to help build and evolve the systems behind a fast-growing portfolio of brand advertising products. You will own the delivery stack for guaranteed delivery, inventory forecasting, and traffic strategy, collaborating with Product and Strategy teams to turn opportunities into scalable capabilities.

Join a cross-functional team focused on data-driven design, experimentation, and end-to-end ownership of delivery systems, with impact on revenue and advertiser experience.

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 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

Backend systems

Education

BS/MS in Computer Science or related field

Job description

TikTok is seeking an engineer to help build and evolve the systems behind a fast-growing portfolio of brand advertising products. You will own the delivery stack for guaranteed delivery, inventory forecasting, and traffic strategy, collaborating with Product and Strategy teams to turn opportunities into scalable capabilities.

Join a cross-functional team focused on data-driven design, experimentation, and end-to-end ownership of delivery systems, with impact on revenue and advertiser experience.