Machine Learning Engineer

Yesterday

Apply Now

Receive Emails with Similar Jobs

Canopy

WebsiteLinkedInAll Job Openings

51 - 200

Description

• As a Machine Learning Engineer in the AI squad, you’ll focus on developing AI-driven solutions to combat vehicle and content theft. • 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). • 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.

Requirements

• 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. • 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.

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.