Liftoff Mobile is hiring a
Machine Learning Engineer

Summary

Join Liftoff's Supply ARO team as a Software Engineer, leveraging machine learning algorithms to drive significant impact and value. Develop and train models to dynamically identify high-value inventories for Real-Time Bidding (RTB) buyers. Collaborate with engineering teams to ensure robust data pipelines and efficient logging.

Requirements

• BS/MS degree in Computer Science, Data Science, Mathematics, or a related field
• 10+ years of total professional technical experience
• 5+ years of experience as a Software Engineer
• 8+ years of experience leading and executing machine learning projects
• Deep expertise in machine learning algorithms
• Extensive practical experience with ML frameworks and libraries
• Proficiency in at least one of the following programming languages: Python, Go, R, C++, or Java
• In-depth knowledge of distributed systems and data processing frameworks
• Strong problem-solving and analytical skills
• Experience with data visualization tools such as Tableau or Looker
• Ability to effectively communicate complex technical concepts to both technical and non-technical audiences
• Highly self-motivated and comfortable working in a dynamic, fast-paced environment
• Strong passion for learning and contribution to team success

Responsibilities

• Develop and train machine learning algorithms to dynamically identify and prioritize high-value inventories for Real-Time Bidding (RTB) buyers
• Continuously explore and reassess previously underperforming inventories to capture opportunities when buyer demand shifts positively
• Utilize existing machine learning infrastructure and enhance it as needed to support optimization goals, ensuring scalability and efficiency for processing high-throughput, low-latency bid requests
• Design, execute, and oversee experiments to test different optimization strategies, ensuring offline estimations closely mirror online revenue estimations using techniques such as counterfactual estimation and inverse propensity score methods
• Perform statistical analysis on experiment results to fine-tune algorithms and improve performance
• Collaborate with other engineering teams to ensure a robust data pipeline, logging, and aggregating data efficiently and effectively, allowing ML models to leverage this data in bidder technology
• Participate in fostering an “engineering excellence” culture through the adoption of state-of-the-art tools, risk-driven testing, explainable systems, and rigorous code reviews

Benefits

Full compensation package that includes equity and health/vision/dental benefits associated with your country of residence