
Lead ML Engineer, Ad Performance
Launch Potato
17 hours ago
•No application
About
- WHO ARE WE?
- 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.
- 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.