Senior Software Engineer - Experiment Platform

Moloco•Seattle, WA

1d•Onsite

About The Position

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 YouTube'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 enables retailers and marketplaces 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, 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! About the Team: The Ads Platform, Experiment team owns Moloco's company-wide experimentation infrastructure. We build the systems that help teams roll out changes safely, measure impact rigorously, and make better product and business decisions with confidence. Our scope spans experiment lifecycle management, dynamic configuration and feature flag delivery, and the data pipelines and statistical tooling that power experiment analysis. We work at the intersection of backend infrastructure, data systems, and internal product development, partnering closely with engineers, data scientists, and statisticians. About the Role: As a Senior Software Engineer on the Experiment Platform team, you will lead the design and evolution of high-leverage systems that shape how Moloco runs experiments across products. You will own important technical areas end-to-end, drive sound engineering decisions in ambiguous problem spaces, and build platforms that improve the speed, safety, and trustworthiness of experimentation company-wide. This role is well-suited for engineers who combine strong execution with technical judgment, enjoy working across backend and data system boundaries, and want to raise the quality bar for an internal platform used by many teams.

Requirements

5+ years of professional software engineering experience in a production environment.
Strong hands-on experience in backend systems, data infrastructure, distributed systems, or other relevant platform areas.
Proven ability to independently drive technical projects from problem definition through production rollout in ambiguous problem spaces.
Strong engineering judgment in system design, operational reliability, maintainability, and cross-functional execution.
Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.

Nice To Haves

Experience designing and implementing experimentation platforms, A/B testing systems, feature flagging systems, or dynamic configuration platforms.
Experience owning platform or infrastructure systems used by multiple engineering teams.
Experience working with analytical data systems, metrics pipelines, or data quality and correctness challenges.
Familiarity with advertising, mobile product ecosystems, or performance-driven product environments.

Responsibilities

Lead the design and implementation of major components across experiment management services, configuration delivery systems, and analysis pipelines.
Own technical decisions for platform areas that require balancing correctness, reliability, performance, and ease of adoption.
Improve the trustworthiness of experimentation by strengthening system design, observability, data quality, and operational standards.
Partner closely with engineers, data scientists, statisticians, and stakeholders to turn ambiguous requirements into scalable platform capabilities.
Mentor other engineers through design discussions, code reviews, and pragmatic technical leadership.