Overview
Senior Machine Learning Engineer, Recommendation Systems at Launch Potato. You will design, deploy, and scale ML systems powering real-time recommendations across millions of user journeys.
Responsibilities
- Own modeling, feature engineering, data pipelines, and experimentation to improve personalization at scale
- Build and deploy ML models serving 100M+ predictions per day
- Enhance data processing pipelines (Spark, Beam, Dask) for efficiency and reliability
- Design ranking algorithms balancing relevance, diversity, and revenue
- Deliver real-time personalization with latency <50ms across key product surfaces
- Run rigorous A/B tests to measure true business impact
- Partner with product, engineering, and analytics to launch high-impact personalization features
- Implement monitoring and maintain ownership for model reliability
- Optimize for latency, throughput, and cost in production
Qualifications
- 5+ years building and scaling production ML systems with measurable business impact
- Experience deploying ML systems serving 100M+ predictions daily
- Strong background in ranking algorithms (collaborative filtering, learning-to-rank, deep learning)
- Proficiency with Python and ML frameworks (TensorFlow or PyTorch)
- SQL and modern data warehouses (Snowflake, BigQuery, Redshift) plus data lakes
- Familiarity with distributed computing (Spark, Ray) and LLM/AI Agent frameworks
- Track record of improving business KPIs via ML-powered personalization
- Experience with A/B testing platforms and experiment logging best practices
Company & Benefits
Launch Potato is a profitable digital media company with over 30M+ monthly visitors across brands like FinanceBuzz, All About Cookies, and OnlyInYourState. We are a remote-first team headquartered in South Florida with a diverse, high-performance culture.
Equal Opportunity
We are 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, protected veteran status, disability, or other legally protected characteristics.
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