Job Description
📋 Description Own development, deployment, and optimization of ML models powering ads at scale. Partner with product, data science, cloud engineering, and data eng to design ML solutions. Build, train, deploy, and scale ML models via high-availability services or batch workflows. Develop algorithms to improve ad delivery performance, optimization, and scalability. Establish monitoring, logging, alerting, and performance tracking for ML systems. Improve data ecosystems by collaborating with data engineering to create scalable pipelines. 🎯 Requirements Advanced degree in a quantitative field or equivalent experience. 8+ years designing, implementing, and operating ML and optimization systems. Strong Python programming with testing, modular design, and version control. Experience with ML lifecycle and data tools: MLflow, Kubeflow, Spark/PySpark, SQL, Airflow. Experience on AWS, GCP, or Databricks; knowledge of cloud infra, security, and storage. Experience deploying and operating ML models in production. 🎁 Benefits Competitive salary package. Equity opportunities as part of the total compensation package. Comprehensive medical, dental, vision, life, and disability insurance. Retirement savings programs (RRSP with DPSP plan for Canadian employees). Flexible paid time off and company holidays. Remote-first work environment with equipment, tools, and reimbursement.
