Lead Machine Learning Engineer, Ad Performance

As The Discovery and Conversion Company our mission is to connect consumers with the worlds 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. 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. In this role you’ll work at the intersection of advertising algorithms, personalization and optimization – building the ML software and infrastructure that drives ad performance and user engagement at scale. MUST HAVE You bring both the technical depth to design and deploy complex ML systems and the business intuition to know what actually moves KPIs. 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 Want to accelerate your career? Apply now Since day one we’ve been 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, status as an individual with a disability or other applicable legally protected characteristics. Key Skills JProfiler Splunk Performance Testing Fiddler Apache HP Performance Center LoadRunner New Relic Scalability J2EE Java Scripting Employment Type: Full Time Experience: years Vacancy: 1 #J-18808-Ljbffr