Senior ML Engineer, Ad Performance

About Launch Potato

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. Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.

Job Summary

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. Are you a Machine Learning Engineer with a passion for bridging technical expertise and business acumen? Do you thrive in building scalable, reliable systems that directly move revenue? If you’re eager to collaborate globally, face challenges head-on, and make substantial impact, we’re looking for you to join our dynamic team.

Key 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

Requirements

• 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