Senior Machine Learning Engineer

Playwire is seeking a Senior Machine Learning Engineer to join our team and help build out and scale our next-gen website monetization platform. Reporting to the head of Data, this hands-on engineering role will focus on delivering a portfolio of predictive models and inferential decision assets powering our real time platform.Essential ***** (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 timeProvide SME guidance for Data and Engineering teams on ML software engineering principles, model deployments, and platform capabilitiesProcess data and information at a massive scale, and perform A/B testing tasks on statistical models, ML algorithms, and deployed systemsDesign and execution of multivariate experiments, KPI rationalization, establish measurement protocols with and without controlled setup, arbitrate over statistical and business significanceBuild and Deploy capabilities for automating model scoring/Inferencing of ML modelsCommunicate complex analytic findings and insights effectively to stakeholders at all levelsImprove modeling infrastructures, labels, features and algorithms towards robustness, automation and generalization, reduce modeling and operational loadDevelop and implement advanced ML models, such as gradient boosted decision tree, graph neural networks, deep and reinforcement learning models, to solve critical business problems***** (Qualifications)5+ years related experience with developing machine learning models and conducting statistical analysis2+ 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 mSSaStrong foundation in Machine Learning, with a proven track record of developing and deploying ML models at scaleStrong background in data processing and can demonstrate strong data intuition and end-to-end ownership of our systems - from data collection, feature selection, and processing to running ML systems in productionAbility to draw insights and conclusions from data to inform model development and business decisionsNice to ***** (Bonus)MS or PhD in Data Science, Computer Science, Engineering, Statistics, Economics, Physics or related quantitative field (e.g. Econometrics, Mathematics)Ad-Tech experienceExperience with DevOps practices, CI/CD, IaCExperience AWS infrastructureExperience with Snowflake database technologyProfessional experience as a software engineer

Created: 2025-02-20