As a Senior Machine Learning Engineer at Canopy, you will contribute to the development of cutting-edge AI solutions to combat vehicle and content theft, shape the AI roadmap, mentor junior engineers, and influence system architecture decisions.
Requirements
- 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.
Benefits
- Comprehensive medical benefits coverage, dental plans and vision coverage.
- Health care and dependent care spending accounts.
- Employee and Family Assistance Program (EAP).
- Employee discount programs.
- Retirement plan with a generous company match.
- Generous Paid Time Off, Sick, and Holidays
- Family Leave (Maternity, Paternity)
- Short- and long-term disability
- Life insurance and accidental death & dismemberment insurance
