ML Engineer - Ads Delivery & Optimization

TikTok; San Jose (CA); On-site; USD 128,000 - 256,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401(k) with company match

Paid parental leave

Paid holidays

Job summary

TikTok is seeking graduates to join the Brand Ads Team in San Jose. You will help build the end-to-end ads delivery stack, from bidding to forecasting, and partner with Product Strategy and cross-functional teams to turn business goals into scalable delivery systems.

Ideal candidates have recent CS degrees, strong coding and system design fundamentals, and experience with large-scale backend or advertising systems. Apply early; onboarding by year-end is required.

Qualifications

• Bachelor's or Master's degree in Computer Science, 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 ability 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

Backend systems

System design fundamentals

Coding/debugging

Cross-functional communication

Data-driven decisions

Education

Bachelor's/Master's in CS or related

Job description

TikTok is seeking graduates to join the Brand Ads Team in San Jose. You will help build the end-to-end ads delivery stack, from bidding to forecasting, and partner with Product Strategy and cross-functional teams to turn business goals into scalable delivery systems.

Ideal candidates have recent CS degrees, strong coding and system design fundamentals, and experience with large-scale backend or advertising systems. Apply early; onboarding by year-end is required.