Canopy 7
Senior Machine Learning Engineer
Detroit, Michigan, United States · Senior
Sponsorship not specified$126k-$180kDetected 177 days ago
PythonC++MATLABAlgorithmsAWSDockerCI/CDLinuxMachine LearningDeep LearningPyTorchData AnalysisData ScienceNLPMLOpsSignal ProcessingSensorsResearchMentoring
About the role
- As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director of AI Engineering, you'll contribute to the development of cutting-edge AI solutions to combat vehicle and content theft.
- In this senior role, you'll play a pivotal part in shaping our AI roadmap, mentoring junior engineers, and influencing system architecture decisions.
- This is a high-impact role with visibility across engineering and product leadership.
Responsibilities
- 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.
- 5+ years of professional experience developing and implementing ML for perception systems with expertise in at least one of either RADAR, camera, or LiDAR.
- 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.
- A more diverse, equitable, and inclusive Canopy leads to greater innovation and success.
- At Canopy, we're on a mission to end theft from vehicles and revolutionize vehicle security by building cutting-edge technology.
Requirements
- Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
- Proficiency in signal processing techniques such as time/frequency-domain processing (e.g. Fourier Transform), filtering, and noise reduction.
Nice to have
- 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.
- Employee and Family Assistance Program (EAP).
- Employee discount programs.
Compensation
- $126,000 - $180,000 Diversity, Equity and Inclusion: At Canopy, we're on a mission to end theft from vehicles and revolutionize vehicle security by building cutting-edge technology.
Benefits
- 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.
- Stay ahead of industry advancements in machine learning, AI sensing, and signal processing, incorporating the latest innovations into Canopy's technology stack.
- Expertise in Python with extensive experience in at least one deep learning framework (PyTorch or TensorFlow.
Equal opportunity
- Canopy does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.
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This listing is sourced directly from Canopy 7's careers page and normalized into a canonical job model.