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Remote Network Engineer Jobs in Michigan (NOW HIRING)

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

... network models and architectures (CNNs, transformers) with significant experience applying them for ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

Field Technician L2

Grand Rapids, MI · Remote

$18.25 - $25/hr

... engineered Layer2 network solutions including wireless, WAN and LAN connectivity, routers ... Remote access solution support: VPN, connectivity support for Terminal Services, Citrix and other ...

Field Technician L2

Grand Rapids, MI · Remote

$18.25 - $25/hr

... engineered Layer2 network solutions including wireless, WAN and LAN connectivity, routers ... Remote access solution support: VPN, connectivity support for Terminal Services, Citrix and other ...

Automation Engineer 3

Detroit, MI · On-site +1

$70K - $154K/yr

Office Our Approach to Office Workplace Type Certain positions outside our branch network may be ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

New

Senior Sales Engineer, MSP Remote, United States About Blumira and Our Culture Blumira is the ... Knowledge of cybersecurity principles, tools, and frameworks (e.g., network/application security ...

Oracle Engineered Systems DBA

Troy, MI · On-site +1

$48.25 - $65.50/hr

Job Type: Full-Time Employee Location: 100% Remote Key Responsibilities * Manage and administer ... Solid understanding of storage, networking, and system architecture Preferred Qualifications

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Remote Network Engineer information

See Michigan salary details

$27K

$95K

$137.7K

How much do remote network engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for remote network engineer in Michigan is $95,038.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,600.00 and $116,400.00 per year, depending on experience, location, and employer.

How to Become a Remote Network Engineer

The qualifications needed to start a job as a remote network engineer include a degree, job experience, and the computer and technical setup to access and monitor the network from your location. Employers prefer candidates with a bachelor’s degree in computer science of information technology. You may wish to pursue voluntary professional certification, including becoming a Cisco Certified Network Professional (CCNP). You need an understanding of internet protocol security (IPsec) and Open Shortest Path First (OSPF) routing protocol. You should possess expert-level skills in network diagnostic and analytics software.

What Is the Job of a Remote Network Engineer?

As a remote network engineer, you work from home to set up and monitor computer systems and network security. Your duties include working with both hardware and software. You may install new components, protect data with firewalls, assist with system development, and troubleshoot any system issues. You may also communicate with clients to understand their requirements and design a network that matches their needs. Other responsibilities may involve providing support for end-users and performing updates to ensure the system is functioning efficiently. You may work for a specific company or provide freelance services as a remote network engineer.

What are the key skills and qualifications needed to thrive as a Remote Network Engineer, and why are they important?

To thrive as a Remote Network Engineer, you need in-depth knowledge of networking fundamentals, troubleshooting, and security, often supported by a degree in computer science or related fields and certifications like Cisco CCNA or CompTIA Network+. Familiarity with network monitoring tools (e.g., Wireshark, SolarWinds), VPNs, firewalls, and cloud networking platforms is typically required. Strong problem-solving abilities, effective communication, and self-motivation are critical soft skills for remote collaboration and independent issue resolution. These competencies ensure secure, reliable network operations and enable seamless support in distributed environments.

How does a Remote Network Engineer typically collaborate with on-site IT staff and other team members?

As a Remote Network Engineer, you will frequently interact with on-site IT staff and cross-functional teams using collaboration tools like video conferencing, ticketing systems, and remote access platforms. Effective communication is crucial, as you may need to troubleshoot issues or implement network changes without being physically present. Regular status meetings, detailed documentation, and clear escalation procedures help ensure everyone stays aligned and network reliability is maintained. You may also participate in virtual training sessions and knowledge sharing to stay updated and support team cohesion.

What is the difference between Remote Network Engineer vs Network Administrator?

AspectRemote Network EngineerNetwork Administrator
CertificationsCCNA, CCNP, CompTIA Network+CCNA, CompTIA Network+
Work EnvironmentRemote, client sites, data centersOffice, data centers, on-site
ResponsibilitiesDesign, implement, troubleshoot network solutionsMaintain, monitor, support existing networks
Industry UsageIT, telecommunications, cloud providersCorporate, educational, healthcare sectors

While both roles involve network infrastructure, Remote Network Engineers focus on designing and troubleshooting complex networks remotely, often working with clients or cloud environments. Network Administrators primarily manage and support existing networks on-site or in-office. The roles overlap in certifications and industry usage, but differ in scope and work setting.

What is a Remote Network Engineer?

A Remote Network Engineer is an IT professional who designs, implements, manages, and troubleshoots computer networks from a remote location. They ensure network performance, security, and connectivity for businesses without being physically present at the worksite. Their responsibilities may include configuring routers and switches, monitoring network traffic, supporting cloud-based infrastructure, and resolving network issues remotely. This role often requires strong technical skills, problem-solving abilities, and expertise in network protocols and security.
What are the most commonly searched types of Network Engineer jobs in Michigan? The most popular types of Network Engineer jobs in Michigan are:
What are popular job titles related to Remote Network Engineer jobs in Michigan? For Remote Network Engineer jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Remote Network Engineer jobs? Cities in Michigan with the most Remote Network Engineer job openings:
Infographic showing various Remote Network Engineer job openings in Michigan as of July 2026, with employment types broken down into 72% Full Time, 7% Part Time, and 21% Contract. Highlights an 100% Remote job distribution, with an average salary of $95,038 per year, or $45.7 per hour.
Senior Machine Learning Engineer

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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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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