MobilityWare is one of the leading mobile game publishers of card and puzzle games, and they are seeking a hands-on, results driven Machine Learning Engineer to join their AdTech Optimization team. This role focuses on applied machine learning projects, model training, and maintaining model health to influence the core of their Ad business.
Responsibilities:
- Model Implementation: Train and evaluate ML/AI modes using proven libraries, focus on delivery in short cycles of improvement
- Data analysis and feature engineering: Analyze large scale AdTech datasets across multiple sources and tables to understand patterns and opportunity areas
- End to end execution: Build and maintain data processing pipelines that generate features consistently and reproducibly
- Model evolution: Retrain and improve existing models by introducing new models and suggesting new features, adapting to shifting market dynamics
- Collaborate with other Engineering teams and PM: communicate tradeoffs, explain model behavior and align on milestones and rollout plans
- Impact first: Contribute production quality code: tests, reviews, documentation and best practices
Requirements:
- Bachelor's degree in Computer Science, Computer Engineering
- 3+ years of industry experience in ML engineering / Data Science / Applied ML (or equivalent) with AI/ML model training
- Strong coding skills in Python and SQL, experience building ML/AI models for optimization / prediction problems using standard libraries
- Ability to analyze big data and make decisions on Model feature inputs and experience working with online feature stores. Comfortable working with large datasets and multi table joins
- Solid understanding in feature engineering and how feature choices affect model performance
- Ability to execute with some guidance, strong critical thinking and clear communication