Machine Learning Engineer

Summary

Join Liftoff, a leading AI-powered performance marketing platform, and help shape the future of the mobile app ecosystem. As a Machine Learning Engineer, you will design, develop, and implement machine learning models to predict various key metrics, analyze data to identify patterns and features, and explore new data sources. You will also generate hypotheses, design experiments, and work with engineering and operations teams to build and monitor models. Strong communication skills are essential to explain complex concepts to both technical and non-technical audiences. Liftoff offers a fast-paced, collaborative environment with competitive salaries, equity, and benefits designed to support employee well-being and performance. Benefits may include medical coverage and wellness stipends.

Requirements

• Three or more years of experience
• Masters or PhD in Computer Science, Economics, Statistics, Math, Data Science, Engineering, or related field
• Be an expert in at least one scientific programming language (Python is strongly preferred)
• Be an expert in probability distributions, statistical modeling and machine learning
• Be proficient with structured query language (SQL)
• Be proficient with Bayesian statistics and modeling

Responsibilities

• Design, develop, and implement machine learning models to predict competitive bidding landscape, conversion rate, ad relevance to users etc
• Analyze data to identify useful relations, patterns and features that are predictive of user behaviors, preferences, intents, interests
• Continuously identify and explore new and unconventional data sources
• Generate hypothesis and design effective online experiments to continuously iterate and improve on algorithm performance
• Take on unique modeling challenges of data sparsity, delayed feedback, as well as modeling in the context of privacy restrictions
• Work with engineering and operations teams to build machine learning models, monitor and evaluate their health and effectiveness in production
• Use strong communication skills (verbal and written) to explain statistical and machine learning concepts to both technical and non-technical audiences

Preferred Qualifications

• Be familiar with at least one deep learning framework (e.g. PyTorch, TensorFlow)
• Have experience deploying effective ML models to production
• Have experience with auction dynamics and bidding strategies
• Have experience maintaining high quality production code
• Have experience connecting to data sources and prototyping data pipelines
• Adtech experience is a plus

Benefits

• Medical coverage
• Wellness stipends