Launch Potato
Lead Machine Learning Engineer, Ad Performance
Launch Potato, Stamford, Connecticut, United States, 06925
Overview
Lead Machine Learning Engineer, Ad Performance. 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. 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 who can bridge technical depth with business acumen and build scalable, reliable systems that move revenue, we want you on our team. Your role sits at the intersection of advertising algorithms, personalization, and optimization—building ML software and infrastructure that drives ad performance and user engagement at scale. Base salary
BASE SALARY:
$165,000–$215,000 per year, paid semi-monthly Must have
You bring both the technical depth to design and deploy complex ML systems and the business intuition to drive KPI impact. Specifically: 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 Your role
Your mission: Elevate Launch Potato’s advertising performance by building scalable, production-ready ML systems that optimize revenue while enhancing user experience. You’ll collaborate across teams to design, deploy, and refine algorithms that improve ad targeting, relevance, and efficiency at global scale. Outcomes
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 Competencies
Impact-Oriented : You align ML systems to business outcomes and measure what matters Technical Builder : You write clean, production-ready code and architect scalable systems Collaborative : You work seamlessly with global teams and communicate complex ideas clearly Resilient & Determined : You don’t shy from challenges and drive projects through to impact Curious Innovator : You keep pace with ML/AI trends and creatively apply them to advertising Analytical Problem-Solver : You break down complex systems and find data-driven solutions Total compensation
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, which means future increases are based on company and personal performance, not annual cost of living adjustments. Want to accelerate your career? Apply now! We are 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 on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, disability, or other legally protected characteristics. How to apply
Interested in joining Launch Potato? Please apply through the company portal with your resume and cover letter highlighting relevant ML experience. U.S. Standard Demographic Questions
We invite applicants to share their demographic background to identify areas of improvement in our hiring process. Participation is voluntary and responses are anonymous. The information will not affect hiring decisions.
#J-18808-Ljbffr
Lead Machine Learning Engineer, Ad Performance. 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. 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 who can bridge technical depth with business acumen and build scalable, reliable systems that move revenue, we want you on our team. Your role sits at the intersection of advertising algorithms, personalization, and optimization—building ML software and infrastructure that drives ad performance and user engagement at scale. Base salary
BASE SALARY:
$165,000–$215,000 per year, paid semi-monthly Must have
You bring both the technical depth to design and deploy complex ML systems and the business intuition to drive KPI impact. Specifically: 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 Your role
Your mission: Elevate Launch Potato’s advertising performance by building scalable, production-ready ML systems that optimize revenue while enhancing user experience. You’ll collaborate across teams to design, deploy, and refine algorithms that improve ad targeting, relevance, and efficiency at global scale. Outcomes
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 Competencies
Impact-Oriented : You align ML systems to business outcomes and measure what matters Technical Builder : You write clean, production-ready code and architect scalable systems Collaborative : You work seamlessly with global teams and communicate complex ideas clearly Resilient & Determined : You don’t shy from challenges and drive projects through to impact Curious Innovator : You keep pace with ML/AI trends and creatively apply them to advertising Analytical Problem-Solver : You break down complex systems and find data-driven solutions Total compensation
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, which means future increases are based on company and personal performance, not annual cost of living adjustments. Want to accelerate your career? Apply now! We are 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 on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, disability, or other legally protected characteristics. How to apply
Interested in joining Launch Potato? Please apply through the company portal with your resume and cover letter highlighting relevant ML experience. U.S. Standard Demographic Questions
We invite applicants to share their demographic background to identify areas of improvement in our hiring process. Participation is voluntary and responses are anonymous. The information will not affect hiring decisions.
#J-18808-Ljbffr