Senior Ads Platform Engineer (Go/C++) – Scale & ML

TikTok USDS Joint Venture; San Jose (CA); On-site; USD 137,000 - 360,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401(k) Match

Parental Leave

Disability Coverage

Life Insurance

Wellbeing Benefits

Holidays & PTO

Job summary

The Pangle team at TikTok USDS Joint Venture LLC is seeking a backend engineer to design and implement highly available ad-serving systems capable of handling large-scale traffic with low latency, and to optimize delivery strategies for monetization.

You'll work on large-scale data pipelines, ML-informed ranking and bidding, and cross-functional collaboration, with on-site, in-person work up to 5 days per week in San Jose, CA.

Qualifications

• Bachelor's degree in computer science or related technical disciplines.
• 3+ years of working experience and extensive knowledge of modern software tech stack, including large-scale backend systems, and data pipelines.
• Strong Computer Science fundamentals (algorithms, data structures, software design), coding skills and problem-solving skills.

Responsibilities

• Design and implement highly available ad-serving systems capable of handling large-scale traffic with low latency.
• Develop and optimize delivery strategies for various ad placements to maximize monetization efficiency.
• Improve core algorithms and systems across ad recall, ranking, bidding, and traffic allocation.
• Leverage large-scale advertising data to enhance user- and ad-level monitoring systems, and build analytical and optimization tools for campaign performance.
• Communicate cross-functionally across various teams, organizations and internal and external stakeholders to drive engineering efforts.

Skills

Backend systems

Data pipelines

Algorithms

C++

Go

Teamwork

Problem solving

Education

Bachelor's degree in computer science or related technical disciplines

Job description

The Pangle team at TikTok USDS Joint Venture LLC is seeking a backend engineer to design and implement highly available ad-serving systems capable of handling large-scale traffic with low latency, and to optimize delivery strategies for monetization.

You'll work on large-scale data pipelines, ML-informed ranking and bidding, and cross-functional collaboration, with on-site, in-person work up to 5 days per week in San Jose, CA.