Machine Learning Engineer @ Canopy | Jobright.ai
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Machine Learning Engineer jobs in Detroit, MI
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Canopy · 3 days ago

Machine Learning Engineer

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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.

Machine LearningComputer VisionPythonKeras/TensorFlowPytorchC++Unix-based EnvironmentSignal ProcessingCloud Computing (AWS/GCP)Model Deployment

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 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 Stage

Leadership Team

C
Christian Moran
Founder and CEO
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Company data provided by crunchbase
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