Canopy · 3 days ago
Machine Learning Engineer
Maximize your interview chances
Consumer ElectronicsManufacturing
Growth OpportunitiesH1B Sponsor Likely
Insider Connection @Canopy
Get 3x more responses when you reach out via email instead of LinkedIn.
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.
Qualification
Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.
Required
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
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.
Company
Canopy
Canopy is a manufacturer of security cameras for trucks.
H1B Sponsorship
Canopy has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2021 (1)
Funding
Current Stage
Growth StageRecent News
Venture Capital News
2024-05-13
Marijuana Business Daily
2023-11-19
DBusiness Magazine
2023-11-10
Company data provided by crunchbase