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

Convergix Automation

Applications Engineer

Bridgman, MI · On-site +1

Industrial Automation, Applications Engineer Bridgman, Michigan Mid-West USA (Remote) We are seeking talented and energetic individuals to join our growing team! Greatness takes continuous evolution.

AVL DiTEST

Application Engineer

Plymouth, MI · On-site +1

AVL Test Systems Inc offers a job in the United States (US) as Application Engineer Application Engineer - Duties are provide technical engineering & customer liaison support services for engine ...

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 ...

Xylem

Application Engineering

Holland, MI · On-site +1

Are you an engineer who enjoys combining technical expertise with customer engagement? Do you thrive on solving complex problems, collaborating across teams, and seeing projects move from concept to ...

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+ ...

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All JobsOptical Engineer JobsRemote Optical Engineer JobsRemote Optical Engineer Jobs in Michigan

Remote Optical Engineer information

See Michigan salary details

$72.3K

$125.2K

$146.9K

How much do remote optical engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote optical engineer in Michigan is $125,170.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,400.00 and $145,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Optical Engineer position, and why are they important?

To excel as a Remote Optical Engineer, you need a solid understanding of optics, photonics, and optical system design, typically backed by a relevant engineering degree. Familiarity with simulation tools such as Zemax or LightTools, CAD software, and possibly certifications in optical engineering or fiber optics is highly valuable. Strong problem-solving, effective communication, and self-motivation are key soft skills, especially when working remotely. These skills are vital for delivering precise optical solutions, collaborating efficiently across virtual teams, and managing projects independently.

What are some typical projects or challenges a Remote Optical Engineer might work on?

As a Remote Optical Engineer, you may work on projects ranging from designing lenses or laser systems to optimizing fiber optic communications or developing imaging devices. Common challenges include troubleshooting optical alignment remotely, accurately simulating system performance, and ensuring close collaboration with mechanical and electrical engineering teams across different time zones. The ability to communicate technical concepts clearly and navigate virtual project management tools is essential for success. These diverse projects offer opportunities to innovate, enhance your technical skills, and contribute to cutting-edge technologies from anywhere.

What is a Remote Optical Engineer job?

A Remote Optical Engineer designs, analyzes, and tests optical systems and components while working from a remote location. They may be involved in developing lenses, fiber optics, laser systems, or imaging technologies for industries like telecommunications, healthcare, or aerospace. Using simulations and modeling software, they optimize optical performance and troubleshoot design challenges. Collaboration with teams happens virtually, requiring strong communication skills. This role often demands expertise in optics, photonics, and related engineering principles.

What are the most commonly searched types of Optical Engineer jobs in Michigan? The most popular types of Optical Engineer jobs in Michigan are:
What are popular job titles related to Remote Optical Engineer jobs in Michigan? For Remote Optical Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Optical Engineer jobs in Michigan look for? The top searched job categories for Remote Optical Engineer jobs in Michigan are:
What cities in Michigan are hiring for Remote Optical Engineer jobs? Cities in Michigan with the most Remote Optical Engineer job openings:
Remote Optical Engineer jobs near you
Infographic showing various Remote Optical Engineer job openings in Michigan as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $125,170 per year, or $60.2 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 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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