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Neural Engineering Jobs in Michigan (NOW HIRING)

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This is a high-impact role with visibility across engineering and product leadership ... White-box understanding of classical ML algorithms (SVMs, HMMs, Decision Trees) and modern neural ...

Engine Calibration Engineer

Auburn Hills, MI

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor's in Engineering or related field. * 5 years in gasoline engine calibration, calibration ... Experience with DOE, engine modeling, neural networks, reactive problem solving, statistics, or ...

Senior Simulation Vehicle Modeling Engineer

Ann Arbor, MI · On-site +1

$102K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Partner with autonomy engineering teams to capture and implement vehicle model requirements that ... Familiarity with how learned models (neural networks) consume simulation and vehicle model outputs ...

Senior Simulation Vehicle Modeling Engineer

Ann Arbor, MI · On-site +1

$102K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Partner with autonomy engineering teams to capture and implement vehicle model requirements that ... Familiarity with how learned models (neural networks) consume simulation and vehicle model outputs ...

Senior Simulation Vehicle Modeling Engineer

Ann Arbor, MI · On-site

$102K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Partner with autonomy engineering teams to capture and implement vehicle model requirements that ... Familiarity with how learned models (neural networks) consume simulation and vehicle model outputs ...

Sr. Software Engineer - AI/ML

Ann Arbor, MI · Hybrid

$119K - $158K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Minimum of eight (8) years of software engineering, with 3-5 years of experience in AI/ML, with a ... Strong background in statistics, machine learning algorithms, deep learning, neural networks, and ...

Sr. Software Engineer - AI/ML

Ann Arbor, MI · On-site

$119K - $158K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Minimum of eight (8) years of software engineering, with 3-5 years of experience in AI/ML, with a ... Strong background in statistics, machine learning algorithms, deep learning, neural networks, and ...

The resource also provides technical oversight to developers in the team that support other ... Strong understanding of neural networks, computer vision, natural language processing, and/or ...

Sr. Software Engineer - AI/ML

Ann Arbor, MI · On-site

$119K - $158K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Minimum of eight (8) years of software engineering, with 3-5 years of experience in AI/ML, with a ... Strong background in statistics, machine learning algorithms, deep learning, neural networks, and ...

Senior, ML Engineer - Auto Tagger

Ann Arbor, MI · On-site +1

$102K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate closely with downstream consumers in perception, simulation, and systems engineering to ... Knowledge of how scenario data feeds into generative simulation workflows, neural rendering, or ...

Engine Calibration Engineer

Auburn Hills, MI

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Basic Qualifications: * BS in Engineering or related field. * Experience in engine system ... Experience with DOE, engine modeling, neural networks, reactive problem solving, or statistics.

Sr. Software Engineer - AI/ML

Ann Arbor, MI · Hybrid

$119K - $158K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Minimum of eight (8) years of software engineering, with 3-5 years of experience in AI/ML, with a ... Strong background in statistics, machine learning algorithms, deep learning, neural networks, and ...

Sr. Software Engineer - AI/ML

Ann Arbor, MI · Hybrid

$119K - $158K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Minimum of eight (8) years of software engineering, with 3-5 years of experience in AI/ML, with a ... Strong background in statistics, machine learning algorithms, deep learning, neural networks, and ...

AI Validation Engineer

Auburn Hills, MI

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This role sits at the intersection of AI/ML engineering and automotive system validation. You will ... neural networks. Our Benefits -- Designed with You in Mind Comprehensive Health & Well-being ...

Senior, ML Engineer - Auto Tagger

Ann Arbor, MI · On-site

$102K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate closely with downstream consumers in perception, simulation, and systems engineering to ... Knowledge of how scenario data feeds into generative simulation workflows, neural rendering, or ...

Senior, ML Engineer - Auto Tagger

Ann Arbor, MI · On-site +1

$102K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate closely with downstream consumers in perception, simulation, and systems engineering to ... Knowledge of how scenario data feeds into generative simulation workflows, neural rendering, or ...

Showing results 41-60

Neural Engineering information

See Michigan salary details

$9

$16

$25

How much do neural engineering jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for neural engineering in Michigan is $16.83, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $18.22 per hour, depending on experience, location, and employer.

What is neural engineering?

Neural engineering is a multidisciplinary field that combines engineering, neuroscience, and computational approaches to understand, repair, enhance, or interface with the nervous system. Neural engineers develop devices such as brain-computer interfaces, neural prosthetics, and neurostimulation systems to restore or improve neural function. This field plays an important role in advancing treatments for neurological disorders and in creating technologies that bridge the gap between machines and the human brain.

What are the key skills and qualifications needed to thrive as a neural engineer, and why are they important?

To thrive as a Neural Engineer, you need a strong background in neuroscience, biomedical engineering, and signal processing, typically supported by an advanced degree in a related field. Familiarity with programming languages (such as MATLAB or Python), neuroimaging tools, and hardware platforms used for neural interfacing is essential. Excellent problem-solving skills, collaboration, and clear communication set standout professionals apart in this multidisciplinary environment. These skills are crucial for developing innovative neural technologies and translating research into effective clinical or commercial solutions.

Is neural engineering a good career?

Neural engineering is a growing interdisciplinary field that combines neuroscience, engineering, and computer science to develop technologies like brain-computer interfaces and neural prosthetics. It offers opportunities in research, healthcare, and industry, often requiring advanced degrees and technical skills. The field is expected to expand as neurotechnology advances and healthcare needs increase.

What can you do with a neural engineering degree?

A neural engineering degree prepares individuals for careers in developing brain-computer interfaces, neuroprosthetics, and neural signal processing. Graduates often work in research, healthcare, or technology companies, utilizing skills in neuroscience, engineering, and programming to innovate medical devices and neural systems.

What are jobs in neural engineering?

Jobs in neural engineering focus on helping research and design biomedical devices like prosthetic limbs and artificial organs. In these roles, you may determine the best way to implement designs for each situation, figure out the best way to link mechanical systems to the human brain, and find the most cost-effective ways to build devices. Neural engineering differs from engineering regular prosthetic limbs in that they receive instructions directly from the brain and often send information back, rather than simply being attached to the body. This often involves programming specialized software and figuring out how to make devices that can teach the brain how to use them. In recent years, neural engineering has started to move out of the medical realm, and there may be more jobs of that nature in the future. Neural engineering is a specific type of biomedical engineering, but should not be confused with jobs in the broader category.

What are some common interdisciplinary challenges faced by neural engineers when collaborating with clinicians and data scientists?

Neural engineers frequently work on teams that include clinicians, data scientists, and hardware specialists, which can present unique interdisciplinary challenges. Effective communication is essential, as team members often have different technical backgrounds and priorities—clinicians focus on patient outcomes, while data scientists emphasize analytical accuracy. Bridging the gap between clinical needs and technical feasibility requires adaptability, openness to feedback, and a willingness to learn new concepts. Building strong collaborative relationships and participating in regular cross-functional meetings can help ensure that project goals are clearly understood and met by all stakeholders.

What are popular job titles related to Neural Engineering jobs in Michigan?

For Neural Engineering jobs in Michigan, the most frequently searched job titles are:

What cities in Michigan are hiring for Neural Engineering jobs?

Cities in Michigan with the most Neural Engineering job openings:

Infographic showing various Neural Engineering job openings in Michigan as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $35,016 per year, or $16.8 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 23 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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