Machine Learning Engineer

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, Data and MLOps engineers, and Quality Assurance to improve the quality of our datasets and pipelines.
• Work with product managers to help integrate the machine learning solutions and deliver on the desired user experience.

• 3+ years’ experience and knowledge of applying machine learning or statistical techniques to solve real-world problems, ideally within the computer vision or audio domain (e.g., presence detection, speech processing, etc.).
• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field
• Strong experience using Python and common data and machine learning-related libraries, such as Keras/TensorFlow or Pytorch, numpy, scipy, Pandas, etc.
• Proficient experience with C++ and running optimised machine learning-based applications on edge hardware.
• Proficiency using the command line including shell scripting, ideally in a Unix-based environment (e.g. Linux, macOS).
• Knowledge of basic signal processing techniques.

Preferred Qualifications: 

• Experience in deploying models to edge hardware, including experience with PyTorch and ONNX and model compression techniques, e.g. quantisation and pruning.
• Reside within the Detroit area or nearby, with the ability to work in a hybrid environment and regularly commute to our Detroit office as needed.
• Experience using cloud computing platforms, e.g., AWS or GCP desired.

• 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.

Compensation Range

Compensation may vary depending on skills and experience.

Base Salary: $77,900 - $109,000

Diversity, Equity and Inclusion: At Canopy, we're on a mission to end theft from vehicles and revolutionize vehicle security by building cutting-edge technology. We will achieve this by prioritizing individuals and staying attuned to the evolving needs of our people, users, and industry trends. We foster a workplace culture that embraces diversity and authenticity, enabling us to flourish as a team of exceptional individuals working towards a common purpose. We gain a deeper understanding of our users' experiences by continuously improving our skills and expanding our knowledge. A more diverse, equitable, and inclusive Canopy leads to greater innovation and success.

Equal Opportunity:  Canopy does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.