Launch Potato
Lead Machine Learning Engineer, Ad Performance
Launch Potato, New Haven, Connecticut, us, 06540
Lead Machine Learning Engineer, Ad Performance
Launch 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. We are looking for a Machine Learning Engineer with a passion for bridging technical expertise and business acumen to join our dynamic team. In this role, you’ll work at the intersection of advertising algorithms, personalization, and optimization, building the ML software and infrastructure that drives ad performance and user engagement at scale. Responsibilities: Develop and scale advertising algorithms that optimize engagement and revenue simultaneously Apply cutting-edge ML approaches to improve ad performance Build scalable infrastructure to support real-time ad decisioning across millions of requests per day Conduct rigorous experiments 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 Requirements: 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 What We Offer: Base salary: $165,000–$215,000 per year, paid semi-monthly. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. We are an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
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Launch 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. We are looking for a Machine Learning Engineer with a passion for bridging technical expertise and business acumen to join our dynamic team. In this role, you’ll work at the intersection of advertising algorithms, personalization, and optimization, building the ML software and infrastructure that drives ad performance and user engagement at scale. Responsibilities: Develop and scale advertising algorithms that optimize engagement and revenue simultaneously Apply cutting-edge ML approaches to improve ad performance Build scalable infrastructure to support real-time ad decisioning across millions of requests per day Conduct rigorous experiments 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 Requirements: 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 What We Offer: Base salary: $165,000–$215,000 per year, paid semi-monthly. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. We are an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
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