Canopy hiring Senior Machine Learning Engineer • Remote (Work from Home) | Himalayas
CanopyCA

Senior Machine Learning Engineer

Canopy Security is a smart vehicle security startup, backed by Ford and ADT, on a mission to end vehicle theft and revolutionize security with cutting-edge AI technology. They offer products like the Canopy Pickup Cam for real-time truck bed monitoring.

Canopy

Employee count: 51-200

Salary: 98k-138k USD

United States only

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:

  • 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.

Requirements

  • 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 Qualifications:

  • 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

Compensation Range

Compensation may vary depending on skills and experience.
Base Salary: $98,000 - $138,000

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. We will achieve this by prioritizing individuals and staying attuned to the evolving needs of our people, users, and industry trends. We foster a workplace culture that embraces diversity and authenticity, enabling us to flourish as a team of exceptional individuals working towards a common purpose. We gain a deeper understanding of our users' experiences by continuously improving our skills and expanding our knowledge. A more diverse, equitable, and inclusive Canopy leads to greater innovation and success.

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.

About the job

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Posted on

Job type

Full Time

Experience level

Senior

Salary

Salary: 98k-138k USD

Location requirements

Hiring timezones

United States +/- 0 hours

About Canopy

Learn more about Canopy and their company culture.

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At Canopy, the core of our mission is to redefine vehicle security, driven by a culture of innovation and a commitment to providing peace of mind to vehicle owners. Founded in 2022 as a joint venture backed by automotive leader Ford and security expert ADT, Canopy was born out of a direct response to the escalating problem of vehicle and cargo theft, particularly for tradespeople and truck owners who depend on their vehicles and the equipment within them for their livelihood. Our team is dedicated to leveraging cutting-edge AI technology and automotive expertise to create solutions that proactively protect rather than reactively report. We believe in a future where vehicle owners no longer have to discover a theft after it’s too late.

Our culture emphasizes a no-compromise approach to quality and customer satisfaction. This is evident in our rigorous product development and testing processes, including extensive beta pilot programs with real truck owners across the country to validate and refine our offerings in real-world conditions. We foster an environment of collaboration, not just internally, but also with strategic partners like Ambarella for edge AI semiconductor technology and Upstream Security for robust cybersecurity detection and response. With offices in both the U.S. and the U.K., and our products designed in Detroit, we are a global team passionate about ending vehicle theft and revolutionizing security through smart, connected experiences. We are committed to continuous innovation, with plans to expand our offerings and further enhance the security and connectivity of vehicles worldwide, ensuring our customers and their valuable assets are always protected.

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