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.

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.

Liftoff Mobile

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