Machine Learning Engineer

$77,900 - $109,000/Yr

Canopy & Co. Limited - Detroit, MI

Full-time - Mid Level

Detroit, MI

Administrative and Support Services

About the position

As a Machine Learning Engineer in the AI squad, you will focus on developing AI-driven solutions to combat vehicle and content theft. This role is critical for driving innovation in security technologies, helping to safeguard assets and push the boundaries of what's possible in the field. You will be responsible for solving real-world challenges with cutting-edge solutions.

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 large sensory datasets (image, audio, radar) to develop a 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 datasets and pipelines.
• Collaborate with product managers to help integrate machine learning solutions and deliver on the desired user experience.

Requirements

• 3+ years experience applying machine learning or statistical techniques to solve real-world problems, ideally within the computer vision or audio domain.
• 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.
• Proficient experience with C++ and running optimized machine learning-based applications on edge hardware.
• Proficiency using the command line including shell scripting, ideally in a Unix-based environment.

Nice-to-haves

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

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.