Machine Learning Engineer in Michigan

Job Overview: 

As a Machine Learning Engineer in the AI squad, reporting to the Director of AI Engineering, you’ll focus on developing AI-driven solutions to combat vehicle and content theft. This role is critical for driving innovation in our security technologies, helping to safeguard assets and push the boundaries of what’s possible in the field. If you’re passionate about solving real-world challenges with cutting-edge solutions, this is the opportunity for you.

Responsibilities: 

• Use machine learning techniques to train, debug, and evaluate models for customer deliveries ranging from quick prototypes to full production-level models.
• Perform exploratory data analysis on the large sensory datasets (image, audio, radar) we have gathered, to develop greater understanding of the problem domain.
• Define and improve best practices of ML systems development, testing and evaluation.
• Work closely with data collection teams,...

Join Canopy, a Ford-backed company, at the forefront of engineering advanced threat detection and deterrence products specifically designed for vehicles. Our mission is to eliminate vehicle crime and enhance mobility through cutting-edge consumer hardware, aftermarket connectivity, and AI-driven security solutions. As part of our team, you'll be at the forefront of innovation, helping to solve one of today’s most pressing challenges with cutting-edge solutions.

The Staff MLOps Engineer will lead the design, development, and implementation of scalable machine learning operations (MLOps) pipelines and infrastructure. This role is critical for ensuring that machine learning models are efficiently deployed, monitored, and maintained in production environments. The engineer will work closely with machine learning engineers, data scientists/engineers, and platform/SRE engineers to streamline and automate data ingestion, model deployment, ensuring high availability,...