Launch Potato
Senior Machine Learning Engineer, Ad Performance
Launch Potato, Oklahoma City, Oklahoma, United States, 73116
Overview
Senior Machine Learning Engineer, Ad Performance – Launch Potato. Join to apply for the Senior Machine Learning Engineer, Ad Performance role at Launch Potato. WHY JOIN US? At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers. We turn audience attention into action through data, machine learning, and relentless optimization. If you’re a Machine Learning Engineer with a passion for bridging technical expertise and business acumen, and you thrive in building scalable, reliable systems that directly move revenue, we’d like to hear from you. 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 (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. Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, and future increases are based on company and personal performance. EEO and Diversity
Since day one, we’ve been committed to having a diverse, inclusive team and culture. We are proud to be 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. Job Details
Senior Machine Learning Engineer, Ad Performance — Employment type: Full-time; Seniority level: Mid-Senior level. Location: Remote-friendly with headquarters in South Florida.
#J-18808-Ljbffr
Senior Machine Learning Engineer, Ad Performance – Launch Potato. Join to apply for the Senior Machine Learning Engineer, Ad Performance role at Launch Potato. WHY JOIN US? At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers. We turn audience attention into action through data, machine learning, and relentless optimization. If you’re a Machine Learning Engineer with a passion for bridging technical expertise and business acumen, and you thrive in building scalable, reliable systems that directly move revenue, we’d like to hear from you. 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 (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. Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, and future increases are based on company and personal performance. EEO and Diversity
Since day one, we’ve been committed to having a diverse, inclusive team and culture. We are proud to be 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. Job Details
Senior Machine Learning Engineer, Ad Performance — Employment type: Full-time; Seniority level: Mid-Senior level. Location: Remote-friendly with headquarters in South Florida.
#J-18808-Ljbffr