Launch Potato
Lead Machine Learning Engineer, Ad Performance
Launch Potato, Citrus Heights, California, us, 95611
Overview
Lead Machine Learning Engineer, Ad Performance – responsible for building scalable, production-ready ML systems to optimize advertising performance and revenue at Launch Potato. The role sits at the intersection of advertising algorithms, personalization, and optimization, and involves collaborating across teams to design, deploy, and refine ML-driven solutions at global scale. Responsibilities
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. 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
MUST HAVE 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 Compensation
BASE SALARY:
$165,000–$215,000 per year, paid semi-monthly 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, with future increases based on company and personal performance. Benefits & Diversity
We are committed to diversity, equity, and inclusion. We are proud to be an Equal Employment Opportunity company. 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, veteran status, disability, or other legally protected characteristics. Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Advertising Services We do not translate or alter the original job information beyond formatting to meet accessibility and clarity standards.
#J-18808-Ljbffr
Lead Machine Learning Engineer, Ad Performance – responsible for building scalable, production-ready ML systems to optimize advertising performance and revenue at Launch Potato. The role sits at the intersection of advertising algorithms, personalization, and optimization, and involves collaborating across teams to design, deploy, and refine ML-driven solutions at global scale. Responsibilities
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. 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
MUST HAVE 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 Compensation
BASE SALARY:
$165,000–$215,000 per year, paid semi-monthly 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, with future increases based on company and personal performance. Benefits & Diversity
We are committed to diversity, equity, and inclusion. We are proud to be an Equal Employment Opportunity company. 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, veteran status, disability, or other legally protected characteristics. Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Advertising Services We do not translate or alter the original job information beyond formatting to meet accessibility and clarity standards.
#J-18808-Ljbffr