• Contribute to the design, development, and deployment of robust machine learning models for production use in real-world security applications. • Develop within the full machine learning lifecycle; from problem definition to data pipeline design, model development, validation, deployment, and monitoring. • Establish and refine best practices in our ML system architecture, CI/CD pipelines for ML, and reproducible research methodologies. • Collaborate with cross-functional stakeholders including product managers, data engineers, and MLOps teams to ensure seamless model integration and delivery. • Perform advanced exploratory data analysis on large-scale sensory datasets (image, audio, radar, accelerometer) to derive insights and guide modeling strategies. • Stay ahead of industry advancements in machine learning, AI sensing, and signal processing, incorporating the latest innovations into Canopy’s technology stack. • Mentor and guide junior engineers and contribute to the hiring process and technical reviews.