Software Engineer - Ads Measurement

About Moloco

Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including You Tube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.

Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization.
Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition.
Moloco Commerce Media and Streaming Monetization solutions enable retailers, marketplaces, and streaming platforms to build revenue-generating ad businesses that balance user experience and advertiser performance.

Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Bangalore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.

Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!

• The Ads Measurement Team builds and operates systems that measure, validate, and report on the effectiveness of advertising campaigns across Moloco’s platform. As a Software Engineer, you will design, build, and scale highly reliable, observable, and low-latency data pipelines that power attribution, reporting, and third-party measurement integrations.
• You’ll work at the intersection of backend infrastructure, real-time data processing, and measurement offering, partnering closely with Partner Engineering, Data Science, and Product teams to ensure signal accuracy, data integrity, and trust at massive scale. Your work will directly impact advertiser confidence, model performance, and Moloco’s ability to deliver measurable business outcomes.

• Develop high-throughput, low-latency real-time and batch data processing systems, optimizing performance at scale.
• Implement, maintain, and support third-party measurement and attribution integrations, including MMPs.
• Design, build, and operate reliable, observable measurement pipelines that ensure data accuracy and completeness.
• Optimize and scale production data infrastructure using Kubernetes, Airflow, and Big Query, applying infrastructure-as-code, CI/CD, and cost-efficient reliability best practices.
• Collaborate closely with Machine Learning, Data Science, and Engineering teams to deliver high-quality measurement signals, support model training, and mentor engineers across the organization.

• Bachelor’s or Master’s degree in Computer Science, or equivalent technical field.
• 2+ years of backend-infrastructure software development industry experience.
• Proficiency in one or more backend languages:
  Go (preferred), Python or Java.
• Experience building data pipelines and optimizing real-time or near real-time stream processing systems with low latency and high throughput.
• Strong understanding of real-time, multi-threaded, parallel processing and distributed systems.
• Operate and scale containerized services and data platforms using tools like Kubernetes, Airflow, and Big Query.

• Experience in ad tech or with measurement systems, including MMPs, SKAN, and attribution platforms.
• Experience integrating with third-party APIs at scale.
• Experience implementing comprehensive monitoring and observability using modern monitoring tools (e.g., Datadog, Prometheus).
• Experience designing and maintaining resilient data pipelines optimized for large-scale event data.

In accordance with various state laws, the range provided is a reasonable estimate of the base compensation for this role. The actual amount may be higher or lower based on non-discriminatory factors such as experience, knowledge, skills, and abilities. We also offer a…