Senior Machine Learning Engineer - Remote

Overview

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.

In Short

• 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

• Proven experience in machine learning and AI.
• Strong programming skills in Python or similar languages.
• Experience with data handling and manipulation tools.
• Familiarity with machine learning frameworks and libraries.
• Ability to work collaboratively in a cross-functional team environment.
• Excellent problem-solving skills and analytical thinking.
• Experience in mentoring and guiding junior engineers.
• Strong communication skills.

Benefits

• Competitive salary and performance bonuses.
• Health, dental, and vision insurance.
• Flexible work hours and remote work options.
• Professional development opportunities.
• Supportive and innovative work environment.
• Employee wellness programs.
• Generous paid time off.
• Retirement savings plan with company match.