Machine Learning Engineer

Liftoff Mobile

Machine Learning Engineer building statistical models for mobile ad tech economics at Liftoff. Collaborating with engineers and analysts to enhance advertiser performance and business goals in a remote setup.

Posted 7/14/2026full-timeRemote • California, Colorado, Florida, Idaho, Illinois, Massachusetts, Minnesota, Missouri, Montana, Nevada, New Jersey, New York, Oregon, Texas, Utah, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $215,000 - $275,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building statistical models and production systems, with a strong foundation in machine learning and economics. Capable of collaborating effectively across teams while communicating complex concepts to diverse audiences.

Highest-signal resume keywords

PhD In Computer ScienceMachine Learning ApplicationStatistical ModelingAd Tech ExperienceTeam Communication

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Statistical ModelingMachine LearningOptimization TechniquesExperiment DesignCoding Skills

Soft Skills

Strong Communication SkillsCollaboration Skills

Tools & Technologies

State-Of-The-Art ToolsRisk-Driven Testing

Industry Keywords

Ad TechEconomicsDynamic Environments

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

equity
health/vision/dental benefits