Launch Potato
Lead Machine Learning Engineer, Ad Performance
Launch Potato, Dallas, Texas, United States, 75215
Overview
Lead Machine Learning Engineer, Ad Performance at Launch Potato. The Discovery and Conversion Company connects consumers with brands through data-driven content and technology. Headquartered in South Florida with a remote-first team spanning 15+ countries. About the role: you will work at the intersection of advertising algorithms, personalization, and optimization, building ML software and infrastructure that drives ad performance and user engagement at scale. Responsibilities
Elevate Launch Potato’s advertising performance by building scalable, production-ready ML systems that optimize revenue while enhancing user experience. Collaborate across product, data, and engineering 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 the ML stack when they create competitive advantage. Qualifications
7+ 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 skills. Compensation
BASE SALARY:
$165,000 $215,000 per year, paid semi-monthly. Total Compensation:
Base salary plus profit-sharing bonus and competitive benefits. Compensation varies based on Launch Potato’s Levels Framework; future increases are based on company and personal performance. Company & Diversity
Launch Potato is a profitable, diverse, inclusive employer and an Equal Employment Opportunity company. We value diversity, equity, and inclusion and do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, age, veteran status, disability, or other protected characteristics. Job Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Advertising Services
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Lead Machine Learning Engineer, Ad Performance at Launch Potato. The Discovery and Conversion Company connects consumers with brands through data-driven content and technology. Headquartered in South Florida with a remote-first team spanning 15+ countries. About the role: you will work at the intersection of advertising algorithms, personalization, and optimization, building ML software and infrastructure that drives ad performance and user engagement at scale. Responsibilities
Elevate Launch Potato’s advertising performance by building scalable, production-ready ML systems that optimize revenue while enhancing user experience. Collaborate across product, data, and engineering 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 the ML stack when they create competitive advantage. Qualifications
7+ 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 skills. Compensation
BASE SALARY:
$165,000 $215,000 per year, paid semi-monthly. Total Compensation:
Base salary plus profit-sharing bonus and competitive benefits. Compensation varies based on Launch Potato’s Levels Framework; future increases are based on company and personal performance. Company & Diversity
Launch Potato is a profitable, diverse, inclusive employer and an Equal Employment Opportunity company. We value diversity, equity, and inclusion and do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, age, veteran status, disability, or other protected characteristics. Job Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Advertising Services
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