Build systems that drive millions in revenue through intelligent personalization and optimization for Launch Potato
Requirements
- 5+ years building production ML systems
- Strong experience with ranking algorithms (collaborative filtering, deep learning, learning-to-rank)
- Proficiency in Python and ML frameworks (TensorFlow/PyTorch)
- Experience with distributed computing (Spark, Ray)
- Track record of shipping models that improve business metrics
Responsibilities
- Build and deploy ML models serving 100M+ predictions daily
- Develop ranking algorithms that balance relevance, diversity, and revenue
- Implement real-time personalization features with <50ms latency requirements
- Run A/B tests and analyze model performance against business KPIs
- Optimize models for production (latency, throughput, cost)
- Collaborate with product teams to identify new personalization opportunities
Other
- BS/MS in Computer Science, Machine Learning, or related field
- Equal Employment Opportunity company
- Diverse, inclusive team and culture
- No discrimination based on race, religion, color, national origin, gender, etc.
