[Hiring] Machine Learning Engineer @Liftoff

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.