ML Engineer – Ads Delivery & Forecasting

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

Benefits offered by this job

Medical insurance (day one)

Dental insurance (day one)

Vision insurance (day one)

401(k) with company match

Paid parental leave

Short-term disability

Long-term disability

Life insurance

Wellbeing benefits

10 paid holidays

10 paid sick days

Paid personal time

Job summary

TikTok is seeking engineers for the Brand Ads Team in San Jose to build delivery stack components for reservation, auction, and content ads. You will own design, implementation, and experimentation to meet business goals and improve advertiser and user outcomes.

Responsibilities include taking products from concept to launch with cross-functional teams and using data to drive fast iteration, while delivering scalable system designs that handle large-scale backend and advertising workloads.

Qualifications

• Bachelor's or Master's degree in Computer Science or related field.
• 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

Coding fundamentals

System design

Go

C/C++

Java

Python

Cross-functional collaboration

Advert/backend systems

Education

Bachelor's degree in CS or related field

Master's degree in CS or related field

Job description

TikTok is seeking engineers for the Brand Ads Team in San Jose to build delivery stack components for reservation, auction, and content ads. You will own design, implementation, and experimentation to meet business goals and improve advertiser and user outcomes.

Responsibilities include taking products from concept to launch with cross-functional teams and using data to drive fast iteration, while delivering scalable system designs that handle large-scale backend and advertising workloads.