Canopy · 14 hours ago
Senior Machine Learning Engineer
Canopy is a company focused on combating vehicle and content theft through innovative AI solutions. As a Senior Machine Learning Engineer, you will design and deploy machine learning models, mentor junior engineers, and influence system architecture decisions within the AI Squad.
Consumer ElectronicsManufacturingSecurity
Responsibilities
Contribute to the design, development, and deployment of robust machine learning models for production use in real-world security applications
Develop within the full machine learning lifecycle; from problem definition to data pipeline design, model development, validation, deployment, and monitoring
Establish and refine best practices in our ML system architecture, CI/CD pipelines for ML, and reproducible research methodologies
Collaborate with cross-functional stakeholders including product managers, data engineers, and MLOps teams to ensure seamless model integration and delivery
Perform advanced exploratory data analysis on large-scale sensory datasets (image, audio, radar, accelerometer) to derive insights and guide modeling strategies
Stay ahead of industry advancements in machine learning, AI sensing, and signal processing, incorporating the latest innovations into Canopy's technology stack
Mentor and guide junior engineers and contribute to the hiring process and technical reviews
Qualification
Required
5+ years of professional experience developing and implementing ML for perception systems with expertise in at least one of either RADAR, camera, or LiDAR
Bachelor's degree in Computer Science, Data Science, Engineering, or a related field
Expertise in Python with extensive experience in at least one deep learning framework (PyTorch or TensorFlow)
Proven ability to develop production-grade ML applications for training, evaluation and inference on large-scale datasets
Experience creating C/C++ applications utilizing modern language features and build systems, preferably for porting ML inference applications from Python to edge devices/embedded systems
White-box understanding of classical ML algorithms (SVMs, HMMs, Decision Trees) and modern neural network models and architectures (CNNs, transformers) with significant experience applying them for perception systems
Experience implementing and applying dynamic object tracking, with experience using sensor fusion as a preference
Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and services, virtual computers and clusters
Proficiency in signal processing techniques such as time/frequency-domain processing (e.g. Fourier Transform), filtering, and noise reduction
Preferred
Experience in deploying models to edge hardware, including experience with PyTorch and ONNX and model compression techniques, e.g. quantisation and pruning
Experience using cloud computing platforms, e.g., AWS or GCP
Experience with MATLAB for algorithm prototyping and research
Experience with Docker or containerisation
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
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
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2023-11-10
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