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Senior Machine Learning Engineer

Launch Potato is a digital media company with a portfolio of brands and technologies, connecting advertisers to customers throughout the consumer journey.
Machine Learning
Senior Software Engineer
Remote
101 - 500 Employees
5+ years of experience
AI

Job Description

Launch Potato, a dynamic digital media company headquartered in Delray Beach, Florida, is seeking a Senior Machine Learning Engineer to join their international team. As The Discovery and Conversion Company, Launch Potato connects advertisers to customers throughout the consumer journey, from awareness to purchase.

In this role, you'll be at the forefront of building systems that drive millions in revenue through intelligent personalization and optimization. You'll be responsible for developing and deploying models that understand user preferences, optimize content discovery, and personalize experiences at scale. This is a hands-on position where you'll see direct impact on business metrics daily.

The ideal candidate brings 5+ years of experience building production ML systems, with strong expertise in ranking algorithms and proficiency in Python and ML frameworks. You'll be working with cutting-edge technologies, implementing real-time personalization features, and optimizing models for production environments. The role offers the opportunity to work with a diverse, energetic culture in a high-performing, entrepreneurial team across multiple countries.

As a Senior Machine Learning Engineer, you'll be instrumental in building and deploying ML models serving over 100M predictions daily, developing sophisticated ranking algorithms, and running A/B tests to measure impact. The position offers the chance to work remotely while contributing to a profitable, high-growth company that values diversity, equity, and inclusion.

Last updated a day ago

Responsibilities For Senior Machine Learning Engineer

  • 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

Requirements For Senior Machine Learning Engineer

Python
  • 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
  • BS/MS in Computer Science, Machine Learning, or related field

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