Liftoff Mobile is a leading AI-powered performance marketing platform for the mobile app economy. As a Machine Learning Engineer on the Revenue Engine team, you will build statistical models and production systems to enhance advertiser performance while collaborating with a diverse team to validate theories and improve outcomes for Liftoff and its advertisers.
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