Launch Potato
Senior ML Engineer, Ad Performance
Launch Potato, Charlotte, North Carolina, United States, 28245
Overview
Senior ML Engineer, Ad Performance
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Launch Potato Launch Potato is a profitable digital media company reaching over 30M+ monthly visitors with brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. We are a remote-first, globally distributed team focused on data-driven content and technology to connect consumers with leading brands. We are headquartered in South Florida with teams in over 15 countries and a culture focused on speed, ownership, and measurable impact. Why join us
Grow your career by owning outcomes, moving fast, and driving impact with a global team of high-performers. We use data, machine learning, and optimization to turn audience attention into action. If you’re a Machine Learning Engineer who builds scalable, reliable systems that move revenue, this is the role for you. Responsibilities
Your mission: Elevate 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. Qualifications
5+ 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
Compensation:
$165,000 - $215,000 per year, paid semi-monthly Equal Opportunity
Launch Potato is an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We 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, status as a protected veteran, status as an individual with a disability, or other legally protected characteristics.
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Senior ML Engineer, Ad Performance
at
Launch Potato Launch Potato is a profitable digital media company reaching over 30M+ monthly visitors with brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. We are a remote-first, globally distributed team focused on data-driven content and technology to connect consumers with leading brands. We are headquartered in South Florida with teams in over 15 countries and a culture focused on speed, ownership, and measurable impact. Why join us
Grow your career by owning outcomes, moving fast, and driving impact with a global team of high-performers. We use data, machine learning, and optimization to turn audience attention into action. If you’re a Machine Learning Engineer who builds scalable, reliable systems that move revenue, this is the role for you. Responsibilities
Your mission: Elevate 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. Qualifications
5+ 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
Compensation:
$165,000 - $215,000 per year, paid semi-monthly Equal Opportunity
Launch Potato is an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We 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, status as a protected veteran, status as an individual with a disability, or other legally protected characteristics.
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