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Lead Machine Learning Engineer, Ad Performance

Launch Potato is a profitable, remote-first digital media company that drives consumer action through data-driven content and technology across high-traffic brands. We are seeking a senior Machine Learning Engineer who combines deep ML and software engineering expertise with strong business intuition to build scalable, production ML systems that improve ad targeting, engagement, and revenue.

Skills

  • 7+ years software development and ML engineering, including 3+ years on advertising systems
  • Proficient in Python and SQL for model development and analysis
  • Experience with TensorFlow and/or PyTorch for model building
  • Familiarity with distributed data processing frameworks such as Spark or Ray
  • Experience with cloud platforms (AWS or GCP) for deployment and infrastructure
  • Background in recommendation systems, advertising algorithms, NLP, or computer vision
  • Strong analytical problem-solving and metrics-driven decision making
  • Experience designing and analyzing A/B and multivariate experiments
  • Track record of shipping production ML systems and monitoring model performance

Responsibilities

  • Design, implement, and deploy production-ready ML models and pipelines to improve ad targeting, relevance, and revenue.
  • Build scalable infrastructure for real-time ad decisioning handling millions of requests per day.
  • Apply cutting-edge approaches (e.g., RL, deep ranking models) to boost advertising KPIs.
  • Develop and maintain ETL, feature stores, and model serving components to ensure reliable delivery.
  • Run rigorous experimentation (A/B and multivariate tests) to quantify model impact on business metrics.
  • Monitor model performance, data drift, and system health; iterate to maintain and improve results.
  • Collaborate cross-functionally with product, data, engineering, and analytics teams to launch ad features.
  • Evaluate and integrate emerging ML technologies into the ad stack when they provide measurable advantage.

Education

  • Bachelor’s degree in Computer Science, Engineering, Math, or a related field (or equivalent experience)
  • Master’s or PhD in a quantitative field preferred but not required

Benefits

  • Base salary plus profit-sharing bonus and competitive benefits
  • Remote-first, global team with opportunities for career acceleration and ownership
  • Performance-driven compensation increases tied to company and individual impact
  • Collaborative, high-performance culture focused on measurable outcomes
To read the complete job description, please click on the ‘Apply’ button
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Average salary estimate

$190000 / YEARLY (est.)
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$165000K
$215000K

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SENIORITY LEVEL REQUIREMENT
TEAM SIZE
SALARY RANGE
$165,000/yr - $215,000/yr
EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
September 11, 2025
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