Senior Machine Learning Engineer

Playwire Media is a full-service digital innovation partner specializing in online advertising and proprietary technologies to elevate publishing brands. As we continue to experience rapid growth, we are looking for a Senior Machine Learning Engineer to join our team and contribute to the development and scaling of our next-generation website monetization platform. In this hands-on engineering role, reporting to the VP of Data, you will be responsible for delivering a portfolio of predictive models and inferential decision assets that drive our real-time platform.

Essential Job Functions:

• 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 significant

• Build and Deploy capabilities for automating model scoring/Inferencing of ML model

• 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

• Drive AI use case delivery end to end collaborating across teams building and using standardized platform processes and capabilities
• Develop and implement advanced ML models, such as gradient-boosted decision trees, graph neural networks, and deep and reinforcement learning models, to solve critical business problems

Requirements:

• 5+ years related experience with developing machine learning models and conducting statistical analysis

• 2+ years experience & proficiency with ML frameworks such as sci-kit-learn, SparkML, TensorFlow, PyTorch, pandas, etc.

• 2+ years experience with forecasting models such as Prophet, ARIMA, and mSSa

• Strong foundation in Machine Learning, Deep Learning, and NLP, 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 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

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.