Launch Potato
Lead Machine Learning Engineer, Ad Performance
Launch Potato, Tulsa, Oklahoma, United States, 74145
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 seeking a Machine Learning Engineer with a passion for bridging technical expertise and business acumen. The ideal candidate will have experience building scalable, reliable systems that directly move revenue and will thrive in a high-growth, high-performance culture. 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 Collaborate with global teams across product, data, and engineering to launch high-impact ad features 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 Familiarity with distributed data processing and cloud infrastructure What We Offer: Base salary: $165,000–$215,000 per year Profit-sharing bonus and competitive benefits Opportunity to work with a global team of high-performers 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, 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 seeking a Machine Learning Engineer with a passion for bridging technical expertise and business acumen. The ideal candidate will have experience building scalable, reliable systems that directly move revenue and will thrive in a high-growth, high-performance culture. 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 Collaborate with global teams across product, data, and engineering to launch high-impact ad features 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 Familiarity with distributed data processing and cloud infrastructure What We Offer: Base salary: $165,000–$215,000 per year Profit-sharing bonus and competitive benefits Opportunity to work with a global team of high-performers 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, 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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