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Remote Reliability Engineer Jobs in Commerce, MI

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 ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

Blue Bird

Senior Purchasing Manager

Troy, MI · Remote

... design, engineer and manufacture school buses with a singular focus on safety, reliability, and ... remote office in Troy, MI. The role is accountable for supplier strategy, sourcing, contracting ...

ABB

Service Manager, Digital Automation and Control

MI · Remote

While we are open to remote work, candidates should be located in the Western US, with frequent ... Partner with the DAC COE engineering team to shape and execute the services growth strategy while ...

ABB

Service Sales Specialist

MI · Remote

... reliability and protection of our customers' electrical infrastructure. As a Service Sales ... Remote {#LI-Remote}, this role provides support for the East Coast and will require East Coast ...

Hitachi Careers

Aftermarket Account Manager

MI · Remote

A collaborative, engineering-driven environment * Career growth and skill development opportunities ... Identify aging equipment, reliability concerns, capacity constraints, and obsolescence risks that ...

New

United Airlines

Cloud Operations Engineer

Southfield, MI · On-site +1

$65K - $130K/yr

Location Remote based role with preference in Hub Office City About The Job You're Considering Capgemini CIS is seeking a highly motivated Microsoft 365 Operations Engineer with deep experience in ...

Qualus

Senior Engineer - Outage Coordination

Detroit, MI · On-site +1

$130K - $165K/yr

As a Senior Engineer, you will help to identify impacts of shutdowns and how extensive the associated equipment would be to bundle planned outages together. This will include contingency plan studies ...

Torc Robotics

Senior, ML Engineer - Auto Tagger

Ann Arbor, MI · On-site +1

$102K - $140K/yr

Guide, mentor, and elevate less-experienced engineers. Lead design reviews, establish coding standards, and foster a culture of technical excellence and collaborative problem-solving. What You'll ...

Torc Robotics

Senior, ML Engineer - VLM

Ann Arbor, MI · On-site +1

$102K - $140K/yr

Mentors and guides engineers within the group. * Bachelor's Degree in Computer Science, Robotics, Electrical Engineering, or related technical field plus competences typically acquired through 6+ ...

New

Ilitch

Architect

Detroit, MI · On-site +1

Whether remote or on site, you will be part of all aspects of the Software Development Lifecycle ... Maintain strong awareness of the ecosystem of tools and libraries supporting my primary programming ...

Little Caesars

Architect

Detroit, MI · On-site +1

Whether remote or on site, you will be part of all aspects of the Software Development Lifecycle ... Minimum of ten (10) years of programming experience in a professional environment.Consistent ...

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All JobsReliability Engineer JobsRemote Reliability Engineer JobsRemote Reliability Engineer Jobs in Commerce, MI

Remote Reliability Engineer information

See Commerce, MI salary details

$54.8K

$105.9K

$126.6K

How much do remote reliability engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for remote reliability engineer in Commerce, MI is $105,892.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $115,800.00 per year, depending on experience, location, and employer.

What is the difference between Remote Reliability Engineer vs Remote Site Reliability Engineer?

AspectRemote Reliability EngineerRemote Site Reliability Engineer
CredentialsTypically requires certifications like AWS Certified Solutions Architect, Linux Foundation certificationsSimilar credentials, often with additional focus on site-specific tools and monitoring
Work EnvironmentPrimarily remote, focusing on cloud infrastructure and system reliabilityRemote with some on-site responsibilities, focusing on infrastructure and operational stability
Industry UsageUsed across tech, cloud providers, SaaS companiesCommon in data centers, cloud providers, and large enterprise IT
Search & Comparison IntentOften compared due to overlapping roles in system reliability and cloud infrastructureCompared for on-site vs remote operational responsibilities

The main difference is that Remote Reliability Engineers focus on cloud and system reliability remotely, while Remote Site Reliability Engineers may have some on-site duties related to infrastructure. Both roles require similar skills and certifications but differ in their work environment and specific responsibilities.

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

To thrive as a Remote Reliability Engineer, you need a strong background in systems engineering, software development, and infrastructure management, often supported by a degree in computer science or a related field. Proficiency with cloud platforms (such as AWS, Azure, or GCP), monitoring tools (like Prometheus, Grafana), and relevant certifications (e.g., AWS Certified DevOps Engineer) is highly valuable. Excellent problem-solving, communication, and collaboration skills are crucial for working effectively across distributed teams and responding to incidents. These abilities ensure system reliability, quick incident resolution, and seamless remote teamwork, which are vital for maintaining high service uptime and user satisfaction.

How do Remote Reliability Engineers typically collaborate with on-site teams to address urgent technical issues?

Remote Reliability Engineers often utilize a combination of video conferencing, instant messaging, and collaborative monitoring tools to stay closely connected with on-site teams. When urgent technical issues arise, they participate in real-time troubleshooting sessions, analyze system logs remotely, and may guide on-site staff through step-by-step resolution procedures. Building strong communication channels and regular check-ins are essential to ensure swift and effective collaboration, even across different time zones. This structure allows Remote Reliability Engineers to contribute significantly to system uptime while working from a distance.

What is a Remote Reliability Engineer?

A Remote Reliability Engineer is a professional who works from a remote location to ensure that systems, applications, or infrastructure are reliable, available, and performing well. Their responsibilities typically include monitoring system health, diagnosing issues, implementing preventative measures, and collaborating with teams to improve system reliability. They often use tools for automation, incident response, and performance monitoring, all while working offsite. This role is critical in minimizing downtime and ensuring a smooth user experience, especially for companies with complex technical environments. Remote Reliability Engineers must have strong problem-solving skills and be proficient in cloud technologies, automation, and incident management.
What cities near Commerce, MI are hiring for Remote Reliability Engineer jobs? Cities near Commerce, MI with the most Remote Reliability Engineer job openings:
Remote Reliability Engineer jobs near you
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 19 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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