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Canopy Solutions Jobs in Michigan (NOW HIRING)

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

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 ...

Canopy

Senior Data Analyst

Detroit, MI · On-site +1

$96K - $132K/yr

Join Canopy, a Ford-backed company, at the forefront of engineering advanced threat detection and ... AI-driven security solutions. As part of our team, you'll be at the forefront of innovation ...

Canopy

Team Manager, People

Detroit, MI · On-site +1

$113K - $139K/yr

... Canopy operates. * Provide expert counsel to leadership on complex employee relations matters, lead investigations, and develop solutions that balance business needs with legal and cultural ...

Atos

Service Desk Representative

Flint, MI

... solutions. With deep technology expertise and industry knowledge, Atos works with clients across ... Canopy, Unify and Worldline. Atos offers a broad professional perspective and the opportunity to ...

OWL Services

Excavation Laborer

Clarkston, MI · On-site

... canopy demolitions * Work in confined spaces * Work order information and payroll is completed ... solutions to keep businesses and people moving 24 hours a day, 7 days a week, 365 days a year. OWL ...

OWL Services

Excavation Laborer

Clarkston, MI · On-site

... canopy demolitions * Work in confined spaces * Work order information and payroll is completed ... solutions to keep businesses and people moving 24 hours a day, 7 days a week, 365 days a year. OWL ...

710 Labs

Cultivation Technician

River Rouge, MI

Applying trellis netting, training/manipulating branches to achieve a uniform canopy * Mixing and ... Measuring the EC and pH of nutrient solution and runoff * Filling flowering rooms with vegetative ...

AMN Healthcare

Chief of Cardiac Surgery

Ann Arbor, MI · On-site

... foot canopy walk to 19 miles of trails at Chippewa Nature Center * Midland Center for the Arts ... workforce solutions partner focused on solving the biggest challenges affecting healthcare ...

AMN Healthcare

Cardiac Surgery Faculty

Ann Arbor, MI · On-site

... foot canopy walk to 19 miles of trails at Chippewa Nature Center * Midland Center for the Arts ... workforce solutions partner focused on solving the biggest challenges affecting healthcare ...

Oak Street Health

Primary Care Physician

Detroit, MI

$174K - $374K/yr

... data via canopy and greenway Collaborate with regional and central leadership to meet health ... Benefit solutions that address the different needs and preferences of our colleagues including paid ...

Oak Street Health

Primary Care Physician

Flint, MI · On-site

$174K - $374K/yr

... data via canopy and greenway Collaborate with regional and central leadership to meet health ... Benefit solutions that address the different needs and preferences of our colleagues including paid ...

Oak Street Health

Primary Care Physician

Flint, MI · On-site

$174K - $374K/yr

Maintain Patient Electronic Medical Record data via canopy and greenway * Collaborate with regional ... Benefit solutions that address the different needs and preferences of our colleagues including paid ...

Oak Street Health

Primary Care Physician

Detroit, MI · On-site

$174K - $374K/yr

Maintain Patient Electronic Medical Record data via canopy and greenway * Collaborate with regional ... Benefit solutions that address the different needs and preferences of our colleagues including paid ...

Oak Street Health

Primary Care Physician

Flint, MI · On-site

$174K - $374K/yr

... data via canopy and greenway Collaborate with regional and central leadership to meet health ... Benefit solutions that address the different needs and preferences of our colleagues including paid ...

Oak Street Health

Primary Care Physician

Detroit, MI · On-site

$174K - $374K/yr

... data via canopy and greenway Collaborate with regional and central leadership to meet health ... Benefit solutions that address the different needs and preferences of our colleagues including paid ...

All JobsCanopy Solutions JobsCanopy Solutions Jobs in Michigan

Canopy Solutions information

See Michigan salary details

$6

$26

$56

How much do canopy solutions jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for canopy solutions in Michigan is $26.67, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $33.51 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working at Canopy Solutions, and how can new hires prepare for them?

Professionals at Canopy Solutions often work in fast-paced, technology-driven environments where adapting to rapidly evolving client needs and integrating new software solutions are key challenges. New hires can prepare by familiarizing themselves with agile project management, being proactive in upskilling, and embracing continuous learning. Strong communication and collaboration skills are also essential, as teams frequently work cross-functionally to deliver tailored solutions for diverse clients. Emphasizing adaptability and a willingness to learn will help new team members thrive.

What are the key skills and qualifications needed to thrive as a Canopy Solutions specialist?

To excel as a Canopy Solutions Specialist, you typically need expertise in environmental science, sustainable design, and arboriculture, often supported by a relevant degree or certification. Familiarity with GIS mapping software, CAD tools, and eco-assessment systems is commonly required. Strong project management, communication, and problem-solving skills help professionals coordinate with clients and stakeholders. These capabilities are crucial for delivering effective, sustainable canopy solutions that meet both regulatory requirements and ecological goals.

What is Canopy Solutions?

Canopy Solutions is a company that provides technology and software services, often specializing in solutions for data management, workflow automation, and business process optimization. Their offerings typically include cloud-based platforms designed to help organizations streamline operations, improve efficiency, and enhance data security. Canopy Solutions works with a range of industries to implement customized digital tools that address specific business challenges. Their services may also involve consulting, integration, and ongoing support to ensure clients maximize the value of their technology investments.

What is the difference between Canopy Solutions vs Network Support Specialist?

AspectCanopy SolutionsNetwork Support Specialist
CertificationsIT certifications, such as CompTIA A+, Network+Same certifications often required
Work EnvironmentIT consulting, client sites, remote supportCorporate IT departments, help desks
Industry UsageTechnology, consulting firmsTelecommunications, enterprise IT

Canopy Solutions and Network Support Specialists both require similar certifications and often work in IT environments. However, Canopy Solutions typically provides broader consulting services, while Network Support Specialists focus on maintaining and troubleshooting network systems within organizations.

What are popular job titles related to Canopy Solutions jobs in Michigan? For Canopy Solutions jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Canopy Solutions jobs in Michigan look for? The top searched job categories for Canopy Solutions jobs in Michigan are:
Canopy Solutions jobs near you
Infographic showing various Canopy Solutions job openings in Michigan as of August 2026, with employment types broken down into 83% Full Time, 12% Part Time, and 5% Contract. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $55,469 per year, or $26.7 per hour.

Senior Machine Learning Engineer

Canopy

Detroit, MI • On-site, Remote

$126K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago

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6.8

Company rating: 6.8 out of 10

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8th of 21 rated holiday rentals

Job description

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: $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. 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.

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