Machine Learning Engineer

Role Description 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.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. Qualifications 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. Requirements This role is eligible for full-time remote work in one of our entities: CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, TX, UT, and WA. We are a remote-first company with US hubs in Redwood City, Los Angeles, and New York City. Benefits Liftoff offers a full compensation package that includes equity and health/vision/dental benefits associated with your country of residence. Base compensation will vary based on the candidate's location and experience. Base salary ranges for this role: 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 Benefits may include medical coverage, wellness stipends, and additional perks based on your country of residence.