Launch Potato is looking to build systems that drive millions in revenue through intelligent personalization and optimization by developing and deploying models that understand user preferences, optimize content discovery, and personalize experiences at scale.
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
- 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.
