Playwire is seeking a Senior Machine Learning Engineer to build and scale a next-gen website monetization platform. The role involves training, testing, deploying, and maintaining real-time predictive models, providing ML expertise to Data and Engineering teams, processing large-scale data, conducting A/B testing, designing multivariate experiments, automating model scoring, communicating analytic insights, improving modeling infrastructure, and developing advanced ML models including gradient boosted trees, graph neural networks, deep and reinforcement learning. Requirements include 5+ years in ML model development and statistical analysis, 2+ years with ML frameworks (scikit-learn, SparkML, TensorFlow, PyTorch, pandas), 2+ years with forecasting models (Prophet, ARIMA, mSSa), strong ML foundation, data processing expertise, and ability to derive insights for business decisions. Bonus qualifications include MS/PhD in quantitative fields, ad-tech experience, DevOps practices, AWS, Snowflake, and software engineering experience.
What you'll do
Train, test, deploy, and maintain models that learn from data across hundreds of thousands of interactions per second to predict future behaviors in real time
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Requirements
5+ years related experience with developing machine learning models and conducting statistical analysis
2+ years experience & proficiency with ML frameworks such as scikit-learn, SparkML, TensorFlow, PyTorch, pandas, etc.
2+ years experience with forecasting models such as Prophet, ARIMA, and mSSa
Strong foundation in Machine Learning, with a proven track record of developing and deploying ML models at scale
Strong background in data processing and can demonstrate strong data intuition and end-to-end ownership of systems from data collection, feature selection, processing to running ML systems in production
Ability to draw insights and conclusions from data to inform model development and business decisions
