Brand Ads Systems Engineer: Scalable, ML-Powered Growth

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

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Paid parental leave

Short- and long-term disability

Life insurance

Wellbeing benefits

10 paid holidays per year

10 paid sick days per year

Paid Personal Time

Job summary

TikTok Inc. is seeking experienced engineers to join the Brand Ads Team in San Jose, CA. You will help build end-to-end ads delivery tech, including bidding, ranking, and forecasting, and work with global teams to deliver high-performance systems.

Ideal candidates have 3+ years of experience, strong programming skills in Go, C/C++, and Python, and a solid understanding of ad delivery systems and ML. Join us to drive impactful monetization innovations at scale.

Qualifications

• BS degree in CS/CE or related majors.
• Strong programming, debugging and optimization in Go, C/C++, Python.
• Understanding of computational advertising and ad delivery systems.
• Ability to think critically and formulate concise solutions.

Responsibilities

• Create innovative monetization products that drive engagement and business outcomes.
• Develop highly scalable services powering new ad products for billions of requests; design systems to optimize monetization with ML.
• Implement new ad solutions to protect user experiences on TikTok.
• Collaborate with strategy, product managers, and stakeholders to define products from an engineering perspective.
• Contribute to a fast-growing organization with speed and quality.

Skills

Go

C/C++

Python

Education

BS degree in Computer Science/Computer Engineering or related

Job description

TikTok Inc. is seeking experienced engineers to join the Brand Ads Team in San Jose, CA. You will help build end-to-end ads delivery tech, including bidding, ranking, and forecasting, and work with global teams to deliver high-performance systems.

Ideal candidates have 3+ years of experience, strong programming skills in Go, C/C++, and Python, and a solid understanding of ad delivery systems and ML. Join us to drive impactful monetization innovations at scale.