Machine Learning Engineer

Summary

Join Liftoff, a leading growth acceleration platform for the mobile industry, and contribute to the development and implementation of machine learning models. You will analyze data to identify patterns and features predictive of user behavior, explore new data sources, and design experiments to improve algorithm performance. This role requires tackling unique modeling challenges related to data sparsity and privacy restrictions. Collaboration with engineering and operations teams is crucial for building, monitoring, and evaluating models in production. Excellent communication skills are needed to explain complex concepts to both technical and non-technical audiences. Liftoff offers competitive compensation, equity, and benefits.

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

• Competitive market rate along with equity and benefits and perks
• Health and wellness stipends
• Medical benefits associated with your country of residence