Lead Machine Learning Engineer, Ad Performance
Launch Potato - Chicago, IL
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Lead Machine Learning Engineer, Ad PerformanceBase pay range$165,000.00/yr - $215,000.00/yrOverviewLaunch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology. Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.We turn audience attention into action through data, machine learning, and relentless optimization. This role sits at the intersection of advertising algorithms, personalization, and optimization—building the ML software and infrastructure that drives ad performance and user engagement at scale. If you’re a Machine Learning Engineer who can bridge technical depth with business impact and enjoy collaborating globally, we want you on our dynamic team.BASE SALARY: $165,000–$215,000 per year, paid semi-monthlyResponsibilitiesElevate Launch Potato’s advertising performance by building scalable, production-ready ML systems that optimize revenue while enhancing user experience.Collaborate across teams to design, deploy, and refine algorithms that improve ad targeting, relevance, and efficiency at global scale.Develop and scale advertising algorithms that optimize engagement and revenue simultaneously.Apply cutting-edge ML approaches (e.g., reinforcement learning, deep learning for ranking) to improve ad performance.Build scalable infrastructure to support real-time ad decisioning across millions of requests per day.Conduct rigorous experiments (A/B and multivariate tests) to measure model impact on business KPIs.Continuously improve ETL pipelines and monitoring systems to ensure reliable ad delivery.Collaborate with global teams across product, data, and engineering to launch high-impact ad features.Stay ahead of emerging technologies and integrate them into our ML stack when they create competitive advantage.Qualifications7+ years of software development and ML engineering, including 3+ years focused on advertising systems.Proven experience optimizing ad performance using both mature models and emerging ML technologies.Expertise in one or more ML areas: Recommendation Systems, Advertising Algorithms, NLP, or CV.Proficiency with Python, SQL, and modern ML frameworks (TensorFlow, PyTorch).Familiarity with distributed data processing (Spark, Ray) and cloud infrastructure (AWS/GCP).Strong analytical problem-solving skills with a proven track record of delivering measurable results.Excellent communication, teamwork, and project management petenciesImpact-Oriented: You align ML systems to business outcomes and measure what matters.Technical Builder: You write clean, production-ready code and architect scalable systems.Collaborative: You work seamlessly with global teams and communicate complex ideas clearly.Resilient & Determined: You don’t shy from challenges and drive projects through to impact.Curious Innovator: You keep pace with ML/AI trends and creatively apply them to advertising.Analytical Problem-Solver: You break down complex systems and find data-driven pensation & BenefitsTotal compensation includes base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company; future increases are based on company and personal performance, not annual cost of living adjustments. We are an Equal Employment Opportunity employer and value diversity, equity, and inclusion.Equal OpportunityWe do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, protected veteran status, disability status, or other legally protected characteristics.Note: This posting may reference other roles or locations for contextual purposes; only the Lead ML Engineer, Ad Performance role details above are applicable. #J-18808-Ljbffr
Created: 2025-09-17