Senior Machine Learning Engineer

3 days ago

Boca Raton, United States Playwire Full time

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 Functions: (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
  • Provide SME guidance for Data and Engineering teams on ML software engineering principles, model deployments, and platform capabilities
  • Process data and information at a massive scale, and perform A/B testing tasks on statistical models, ML algorithms, and deployed systems
  • Design and execution of multivariate experiments, KPI rationalization, establish measurement protocols with and without controlled setup, arbitrate over statistical and business significance
  • Build and Deploy capabilities for automating model scoring/Inferencing of ML models
  • Communicate complex analytic findings and insights effectively to stakeholders at all levels
  • Improve modeling infrastructures, labels, features and algorithms towards robustness, automation and generalization, reduce modeling and operational load
  • Develop and implement advanced ML models, such as gradient boosted decision tree, graph neural networks, deep and reinforcement learning models, to solve critical business problems


Requirements: (Qualifications)

  • 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 our systems - from data collection, feature selection, and processing to running ML systems in production
  • Ability to draw insights and conclusions from data to inform model development and business decisions


Nice to have: (Bonus)

  • MS or PhD in Data Science, Computer Science, Engineering, Statistics, Economics, Physics or related quantitative field (e.g. Econometrics, Mathematics)
  • Ad-Tech experience
  • Experience with DevOps practices, CI/CD, IaC
  • Experience AWS infrastructure
  • Experience with Snowflake database technology
  • Professional experience as a software engineer

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