Launch Potato is looking to build the personalization engine behind its portfolio of brands by hiring a Machine Learning Engineer (Recommendation Systems) to design, deploy, and scale ML systems that power real-time recommendations across millions of user journeys, directly impacting engagement, retention, and revenue at scale.
Requirements
- 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)
- Skilled with SQL and modern data warehouses (Snowflake, BigQuery, Redshift) plus data lakes
- Familiarity with distributed computing (Spark, Ray) and LLM/AI Agent frameworks
- Experience with A/B testing platforms and experiment logging best practices
Responsibilities
- Build and deploy ML models serving 100M+ predictions per day to personalize user experiences at scale
- Enhance data processing pipelines (Spark, Beam, Dask) with efficiency and reliability improvements
- Design ranking algorithms that balance relevance, diversity, and revenue
- Deliver real-time personalization with latency <50ms across key product surfaces
- Run statistically rigorous A/B tests to measure true business impact
- Optimize for latency, throughput, and cost efficiency in production
- Implement monitoring systems and maintain clear ownership for model reliability
Other
- You’ve shipped large-scale ML systems into production that power personalization at scale.
- You’re fluent in ranking algorithms and know how to turn data into engagement and conversions.
- Track record of improving business KPIs via ML-powered personalization
- Partner with product, engineering, and analytics to launch high-impact personalization features
- 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.
