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LiftoffLiftoffCalifornia

Machine Learning Engineer

Machine Learning Engineer building statistical models, optimization systems, and experiments for mobile ad tech economics on the Revenue Engine team. Requires PhD in CS/ML/Economics and industry experience applying ML or economics at scale.

215k – 275k
RemoteML Engineering

About the role

Responsibilities

  • Build statistical models and production systems to balance advertiser performance with business goals.
  • Tune optimization parameters, measure internal competition, and model dynamic environments.
  • Design and run experiments to validate theories underpinning the mobile ad tech economy.
  • Develop applications in the areas of advertiser budget retention and growth, optimal margin allocation, and bidding innovations.
  • Collaborate with a team of world-class engineers with diverse backgrounds as well as peers across the broader company (e.g. Operations, GTM).
  • Use strong communication skills (verbal and written) to explain statistical and machine learning concepts to both technical and non-technical audiences.
  • Be part of an “engineering excellence” culture through state-of-the-art tools, risk-driven testing, explainable systems, and design/code review.

Requirements

  • PhD in Computer Science, Machine Learning, Economics, or a related field.
  • Industry experience applying economics or machine learning to large scale problems.
  • Solid engineering and coding skills.
  • Excellent team communication and collaboration skills.
  • Experience with ad tech is a solid plus.

Compensation

  • SF Bay Area, Los Angeles/Orange County, NYC, Seattle: $235,000 - $275,000
  • All other cities and towns in our approved states: $215,000 - $255,000
  • Includes equity and health/vision/dental benefits.

Skills

Machine LearningStatisticsEconomicsPythonExperiment DesignAd TechOptimizationBidding Systems

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