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Principal Machine Learning Engineer, Ad Performance

Launch Potato

$160,000 - $250,000
Sep 4, 2025
New Haven, CT, US
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Launch Potato is seeking to connect consumers with the world’s leading brands through data-driven content and technology by solving complex machine learning challenges in personalization and driving innovation in ML systems.

Requirements

  • Expertise building ML systems with deep expertise in large-scale personalization
  • Recognized industry expertise through patents, publications, or significant product impact
  • Proven success architecting ML platforms serving billions of predictions in production
  • Demonstrated track record of 0→1 innovation in personalization or recommender systems
  • Mastery across multiple ML domains including deep learning, causal inference, multi-armed bandits, and graph-based models
  • 10+ years designing, developing, and deploying large-scale machine learning systems with a focus on personalization

Responsibilities

  • Establish the technical vision for personalization at Launch Potato, solving the company’s most complex ML challenges and influencing strategy, architecture, and innovation across teams.
  • Define company-wide personalization strategy and architecture, driving alignment across all ML teams.
  • Solve critical technical challenges such as cold start, real-time learning, and exploration/exploitation tradeoffs.
  • Design and implement advanced ML solutions using cutting-edge techniques (e.g., graph neural networks, causal models, bandit algorithms).
  • Create and enforce ML architecture patterns, design standards, and reusable infrastructure across teams.
  • Lead multi-quarter, cross-functional initiatives that redefine how personalization impacts business KPIs.
  • Act as technical mentor to senior ML engineers, guiding complex decision-making and scaling team capability.

Other

  • Represent Launch Potato’s technical brand externally through speaking engagements, open source contributions, or publications
  • Champion privacy-preserving personalization, responsible AI practices, and adaptive learning systems
  • Want to accelerate your career? Apply now!
  • 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.