Senior Machine Learning Engineer, Ad Performance
Join to apply for the Senior Machine Learning Engineer, Ad Performance role at Launch Potato
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. If you’re a Machine Learning Engineer with a passion for bridging technical expertise and business acumen, thrive in building scalable, reliable systems that directly move revenue, and enjoy collaborating globally, we’re looking for you to join our dynamic team.
MUST HAVE
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
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 general 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: Align ML systems to business outcomes and measure what matters
Technical Builder: Write clean, production‑ready code and architect scalable systems
Collaborative: Work seamlessly with global teams and communicate complex ideas clearly
Resilient & Determined: Don’t shy from challenges and drive projects through to impact
Curious Innovator: Keep pace with ML/AI trends and creatively apply them to advertising
Analytical Problem‑Solver: 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.
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Engineering and Information Technology
Industry: Advertising Services
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