Machine Learning Engineer

Role Overview

Machine Learning Engineer on the Revenue Engine team, focused on understanding the economics of the mobile ad tech marketplace and building production systems that 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 about the mobile ad tech economy
• Develop applications in advertiser budget retention, optimal margin allocation, and bidding innovations
• Collaborate with machine learning engineers, software engineers, data analysts, and cross-functional teams
• Communicate statistical and machine learning concepts to both technical and non-technical audiences
• Participate in engineering excellence culture with state-of-the-art tools, testing, and design reviews

Requirements

• PhD in Computer Science, Machine Learning, Economics, or related field
• Industry experience applying economics or machine learning to large-scale problems
• Solid engineering and coding skills
• Excellent team communication and collaboration skills
• Ad tech experience (preferred)

Work Environment

• Full-time remote work available across multiple US states (CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, TX, UT, WA)
• Remote-first company with US hubs in Redwood City, Los Angeles, and New York City
• Quarterly in-person team gatherings expected