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Launch Potato Logo

Senior Machine Learning Engineer, Recommendation Systems

Launch Potato

$130,000 - $220,000
Sep 5, 2025
Jersey City, NJ, US
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Launch Potato, a digital media company reaching over 30M+ monthly visitors, is seeking a Machine Learning Engineer to build the personalization engine behind its portfolio of brands. The goal is to connect consumers with leading brands through data-driven content and technology by designing, deploying, and scaling ML systems that power real-time recommendations across millions of user journeys.

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
  • Track record of improving business KPIs via ML-powered personalization

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

  • Experience with A/B testing platforms and experiment logging best practices
  • Collaborate with product, engineering, and analytics to launch high-impact personalization features
  • Work in a remote-first team spanning over 15 countries
  • Commitment to a diverse, inclusive team and culture
  • Equal Employment Opportunity company with no discrimination based on race, religion, color, national origin, gender, sexual orientation, gender identity, age, veteran status, disability, or other legally protected characteristics