Moloco
Senior SWE/MLE - Pricing Algorithms - Auction Mechanisms
Moloco, Seattle, Washington, us, 98127
Overview
Senior SWE/MLE - Bidder Quality - Pricing Algorithms at Moloco. Join Moloco to contribute to the Bidder Quality team, driving ML-powered performance ads business by determining bidding and pricing decisions. Responsibilities
Design and implement real-time bidding and pricing algorithms for a high-scale advertising system (7M QPS), using optimization techniques, auction theory, and machine learning fundamentals. Leverage adtech experience to improve auction outcomes and bidding strategies, understanding advertising ecosystem dynamics (DSPs, SSPs, auctions). Develop scalable and cost-efficient ad serving systems with strong system design to support performance advertising at scale. Conduct deep root-cause analyses of ad performance issues using statistical reasoning to drive unbiased insights and corrective actions. Identify opportunities to optimize the ad delivery pipeline, reducing costs while maintaining performance using efficient algorithms and data structures. Collaborate cross-functionally with product, infrastructure, and account teams to anticipate business impact of changes and help define future roadmaps with product intuition and operational awareness. Stay informed on system-level and data-level changes and work with collaborators to improve infrastructure and ML model performance. Basic Qualifications
Bachelor's Degree in Computer Science with mathematical coursework (e.g., statistics). 6+ years of experience in research-related fields focused on optimization of market prices or ML systems. Proven experience in the adtech space—preferably with exposure to auction-based systems and real-time bidding. Strong mathematical or statistical background (optimization, probability, hypothesis testing). Ability to translate technical changes into business outcomes and understand business metrics. Strong system design skills for scalable, fault-tolerant distributed systems. Familiarity with cost-aware engineering practices—optimize for compute, memory, and latency. Hands-on coding in production codebases (C++, Java, Go, or Python). Working knowledge of machine learning principles in applied settings like ranking, predictions, or decision systems. Ph.D. in Applied Mathematics, Operations Research, Management Science or related field is a plus. Compensation and Benefits
For United States residents, the base compensation range is a reasonable estimate and may vary by experience and other factors. Base Pay Range: $170,000—$220,000 USD. We offer a competitive benefits package. Moloco Thrive and Values
Moloco offers benefits that empower employees to take care of themselves and families. Values include: Lead with Humility; Uncapped Growth Mindset; Create Real Value; Go Further Together. About Moloco
Moloco builds AI advertising solutions and powers a planet-scale ML platform for advertising growth and monetization. Moloco Ads, Moloco Commerce Media, and Streaming Monetization enable retailers and advertisers to achieve performance outcomes. Equal Opportunity and Privacy
Moloco is an equal opportunity employer. We do not discriminate based on characteristics protected by law. By applying, you acknowledge review of our Candidate Privacy Notice.
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Senior SWE/MLE - Bidder Quality - Pricing Algorithms at Moloco. Join Moloco to contribute to the Bidder Quality team, driving ML-powered performance ads business by determining bidding and pricing decisions. Responsibilities
Design and implement real-time bidding and pricing algorithms for a high-scale advertising system (7M QPS), using optimization techniques, auction theory, and machine learning fundamentals. Leverage adtech experience to improve auction outcomes and bidding strategies, understanding advertising ecosystem dynamics (DSPs, SSPs, auctions). Develop scalable and cost-efficient ad serving systems with strong system design to support performance advertising at scale. Conduct deep root-cause analyses of ad performance issues using statistical reasoning to drive unbiased insights and corrective actions. Identify opportunities to optimize the ad delivery pipeline, reducing costs while maintaining performance using efficient algorithms and data structures. Collaborate cross-functionally with product, infrastructure, and account teams to anticipate business impact of changes and help define future roadmaps with product intuition and operational awareness. Stay informed on system-level and data-level changes and work with collaborators to improve infrastructure and ML model performance. Basic Qualifications
Bachelor's Degree in Computer Science with mathematical coursework (e.g., statistics). 6+ years of experience in research-related fields focused on optimization of market prices or ML systems. Proven experience in the adtech space—preferably with exposure to auction-based systems and real-time bidding. Strong mathematical or statistical background (optimization, probability, hypothesis testing). Ability to translate technical changes into business outcomes and understand business metrics. Strong system design skills for scalable, fault-tolerant distributed systems. Familiarity with cost-aware engineering practices—optimize for compute, memory, and latency. Hands-on coding in production codebases (C++, Java, Go, or Python). Working knowledge of machine learning principles in applied settings like ranking, predictions, or decision systems. Ph.D. in Applied Mathematics, Operations Research, Management Science or related field is a plus. Compensation and Benefits
For United States residents, the base compensation range is a reasonable estimate and may vary by experience and other factors. Base Pay Range: $170,000—$220,000 USD. We offer a competitive benefits package. Moloco Thrive and Values
Moloco offers benefits that empower employees to take care of themselves and families. Values include: Lead with Humility; Uncapped Growth Mindset; Create Real Value; Go Further Together. About Moloco
Moloco builds AI advertising solutions and powers a planet-scale ML platform for advertising growth and monetization. Moloco Ads, Moloco Commerce Media, and Streaming Monetization enable retailers and advertisers to achieve performance outcomes. Equal Opportunity and Privacy
Moloco is an equal opportunity employer. We do not discriminate based on characteristics protected by law. By applying, you acknowledge review of our Candidate Privacy Notice.
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