Launch Potato

Lead ML Engineer, Recommendation Systems

Launch Potato

full-time

Posted on:

Origin:  • 🇺🇸 United States

Visit company website
✨ AI Apply
Manual Apply

Salary

💰 $130,000 - $250,000 per year

Job Level

Senior

Tech Stack

Amazon RedshiftBigQueryPythonPyTorchRaySparkSQLTensorflow

About the role

  • Drive business growth by building and optimizing recommendation systems that personalize experience for millions of users daily
  • Own modeling, feature engineering, data pipelines, and experimentation for personalization
  • Build and deploy ML models serving 100M+ predictions per day
  • 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
  • Partner with product, engineering, and analytics to launch high-impact personalization features
  • Implement monitoring systems and maintain model reliability ownership

Requirements

  • 7+ 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
  • Track record of improving business KPIs via ML-powered personalization
  • Experience with A/B testing platforms and experiment logging best practices