At a Glance
- Tasks: Build and scale next-gen website monetization platforms using advanced machine learning models.
- Company: Join Playwire, a leader in innovative tech solutions.
- Benefits: Competitive salary, health benefits, remote work options, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- Why this job: Make a real impact by developing cutting-edge ML models that drive business success.
- Qualifications: 5+ years in machine learning, proficiency in frameworks like TensorFlow and PyTorch.
The predicted salary is between 135000 - 165000 $ per year.
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:
- 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:
- 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:
- 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.
Senior Machine Learning Engineer in Winnipeg employer: Playwire
At Playwire, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the heart of Canada. Our dynamic work culture encourages continuous learning and professional growth, offering employees the chance to work with cutting-edge technologies while contributing to impactful projects in website monetization. With a strong emphasis on teamwork and employee well-being, we provide a supportive environment where your contributions are valued and recognized.
