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Machine Learning Engineer

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EMP:Technology
USA
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Descripción

Liftoff is a leading AI-powered performance marketing platform for the mobile app economy.

Our end-to-end technology stack helps app marketers acquire and retain high-value users, while enabling publishers to maximize revenue across programmatic and direct demand.

Liftoff’s solutions, including Accelerate, Direct, Monetize, Intelligence, and Vungle Exchange, support over 6,600 mobile businesses across 74 countries in sectors such as gaming, social, finance, ecommerce, and entertainment.

Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence.

Acerca de

the Revenue Engine team The Revenue Engine team works to understand the fundamental economics of the mobile ad tech marketplace, including the elasticity of demand and the effects of competition

The team of machine learning engineers, software engineers, and data analysts develops theories, validates those theories with experiments and analyses, and uses the learnings to build production systems that improve outcomes for Liftoff and its advertisers.

As a Machine Learning Engineer on the Revenue Engine team, you will: 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.

Operations, GTM).

Use strong communication.

Habilidades

(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.

Requisitos

: PhD in Comput...

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