Machine Learning Software Developer
1 day ago
At Canopy, we're on a mission to end theft from vehicles and revolutionize vehicle security by building cutting-edge technology.
Job OverviewThis 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.
We are seeking an experienced Machine Learning Engineer to join our AI squad in Detroit. As a key member of our team, you'll focus on developing AI-driven solutions to combat vehicle and content theft.
Responsibilities- Design, train, debug, and evaluate machine learning 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 deeper understanding of the problem domain.
- Develop and improve best practices for ML systems development, testing, and evaluation.
- Collaborate with data collection teams, Data and MLOps engineers, and Quality Assurance to improve the quality of our datasets and pipelines.
- Work closely with product managers to integrate machine learning solutions and deliver on desired user experiences.
- 3+ years' experience applying machine learning or statistical techniques to solve real-world problems, ideally within computer vision or audio domains.
- Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
- Strong experience using Python and common data and machine learning libraries, such as Keras/TensorFlow or PyTorch, numpy, scipy, Pandas, etc.
- Proficient experience with C++ and running optimized machine learning-based applications on edge hardware.
- Proficiency using the command line, including shell scripting, in a Unix-based environment (e.g., Linux, macOS).
- Knowledge of basic signal processing techniques.
The estimated salary range for this position is $77,900 - $109,000 per year, depending on skills and experience.
Benefits- Comprehensive medical benefits coverage, dental plans, and vision coverage.
- Healthcare 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.
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