Launch Potato is looking to solve the problem of optimizing ad performance and user engagement at scale through the use of machine learning and data-driven content.
Requirements
- 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
Responsibilities
- 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
Other
- Bachelor's degree or higher in a relevant field (not explicitly mentioned but implied)
- Ability to work in a remote-first team spanning over 15 countries
- Must be able to communicate complex ideas clearly and work seamlessly with global teams
- Must be impact-oriented, resilient, and determined, with a strong analytical problem-solving skillset
- Must be committed to diversity, equity, and inclusion
