Senior Machine Learning Engineer, Ad Performance

Senior Machine Learning Engineer, Ad Performance at Launch Potato. Join to apply for the Senior Machine Learning Engineer, Ad Performance role at Launch Potato.

Headquartered in South Florida with a remote-first team spanning over 15 countries, 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.

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. We are looking for a Machine Learning Engineer who can bridge technical expertise and business acumen, build scalable, reliable systems, and directly move revenue.

• Your mission: Elevate Launch Potato’s advertising performance by building scalable, production-ready ML systems that optimize revenue while enhancing user experience. 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

• 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

• 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

• 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
• 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

We’re 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, disability, or other legally protected characteristics.

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