Senior Machine Learning Engineer

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director of AI Engineering, you’ll contribute to the development of cutting-edge AI solutions to combat vehicle and content theft. In this senior role, you’ll play a pivotal part in shaping our AI roadmap, mentoring junior engineers, and influencing system architecture decisions. This is a high-impact role with visibility across engineering and product leadership.

Responsibilities:* 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.

Requirements

• 5+ years of professional experience developing and implementing ML for perception systems with expertise in at least one of either RADAR, camera, or LiDAR.
• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
• Expertise in Python with extensive experience in at least one deep learning framework (PyTorch or TensorFlow.
• Proven ability to develop production-grade ML applications for training, evaluation and inference on...