Machine Learning Engineer - Remote

About The Company

Liftoff is a pioneering AI-powered performance marketing platform dedicated to serving the mobile app economy. Since its inception in 2012 and headquartered in Redwood City, California, Liftoff has established itself as a leader in delivering innovative solutions that help app marketers acquire and retain high-value users while enabling publishers to maximize revenue streams across various channels. With a comprehensive technology stack, Liftoff supports over 6,600 mobile businesses across 74 countries, operating in diverse sectors such as gaming, social, finance, ecommerce, and entertainment. The company's global presence and commitment to technological excellence have positioned it at the forefront of the mobile advertising industry, fostering a dynamic and inclusive work environment that encourages innovation and professional growth.

About The Role

We are seeking a highly skilled Machine Learning Engineer to join our Revenue Engine Team. This team focuses on understanding and optimizing the fundamental economics of the mobile ad tech marketplace, including demand elasticity and competitive effects. As a Machine Learning Engineer, you will be instrumental in developing statistical models and production systems aimed at balancing advertiser performance with overarching business objectives. Your role will involve tuning optimization parameters, designing experiments to validate economic theories, and developing applications that enhance advertiser budget retention, growth, and bidding strategies. Collaboration with a talented team of engineers, data analysts, and cross-functional peers is essential to drive innovation and improve system outcomes. You will also be responsible for communicating complex statistical and machine learning concepts effectively to both technical and non-technical stakeholders, fostering a culture of engineering excellence through the use of state-of-the-art tools, rigorous testing, and transparent system design.

Qualifications

• PhD in Computer Science, Machine Learning, Economics, or a related field
• Industry experience applying economics or machine learning to large-scale problems
• Strong engineering and coding skills
• Experience with statistical modeling and machine learning frameworks
• Excellent communication and collaboration skills
• Experience in ad tech is a strong plus
• Ability to work effectively in a remote-first environment
• Knowledge of experimental design and analysis
• Familiarity with scalable data processing and cloud platforms

Responsibilities

• Build and deploy statistical models and production systems to optimize advertiser performance and align with business goals
• Tune and optimize parameters within models to improve efficiency and effectiveness
• Design and execute experiments to validate economic and machine learning theories underlying mobile ad tech
• Develop applications focused on advertiser budget retention, growth, margin optimization, and bidding innovations
• Collaborate with cross-functional teams including engineers, data analysts, and operations to implement solutions
• Communicate complex technical concepts clearly to diverse audiences
• Maintain high standards of engineering excellence through rigorous testing, system explainability, and code reviews
• Stay current with advancements in machine learning, economics, and ad tech industry trends

Benefits

• Competitive salary packages based on experience and location
• Equity options to share in the company's growth
• Comprehensive health, dental, and vision insurance coverage
• Wellness stipends and support programs
• Flexible remote working arrangements with opportunities for in-person team gatherings
• Professional development opportunities and a collaborative work environment
• Participation in innovative projects shaping the future of mobile advertising

Equal Opportunity

Liftoff is an equal opportunity employer committed to fostering an inclusive environment for all employees and applicants. We do not discriminate based on race, ethnicity, national origin, age, marital status, disability, sexual orientation, gender identity, religion, veteran status, or any other characteristic protected by applicable law. We believe diversity and inclusion are essential to our success and encourage individuals from all backgrounds to apply and join our team.