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Neural Engineering Jobs in Michigan (NOW HIRING)

TekShapers

SoC Performance Architect

Auburn Hills, MI

$158K/yr

... Neural Network benchmark criteria and competitive analysis Work with SoC Architect and software ... Basic Qualifications Bachelor's degree in Electrical Engineering, Computer Engineering or related ...

May Mobility

Senior ML Engineer - Mapping

Ann Arbor, MI · On-site

$102K - $140K/yr

Research, train, and evaluate advanced neural architectures. This includes object detection ... S. or Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or a related field ...

May Mobility

Senior ML Engineer - Mapping

Ann Arbor, MI

$102K - $140K/yr

Research, train, and evaluate advanced neural architectures. This includes object detection ... S. or Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or a related field ...

May Mobility

Senior ML Engineer - Mapping

Ann Arbor, MI

$102K - $140K/yr

Research, train, and evaluate advanced neural architectures. This includes object detection ... S. or Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or a related field ...

Orbotech

Sr. AI/ML Engineer - Systems

Ann Arbor, MI

$129K - $220K/yr

Experience with MLOps or ML systems engineering practices such as CI/CD, monitoring, model ... Strong background in statistics, machine learning algorithms, deep learning, neural networks, and ...

Kla

Sr. AI/ML Engineer - Systems

Ann Arbor, MI · On-site

$129K - $220K/yr

Experience with MLOps or ML systems engineering practices such as CI/CD, monitoring, model ... Strong background in statistics, machine learning algorithms, deep learning, neural networks, and ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

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 ...

Software People, Inc.

AI Developer

Lansing, MI · On-site

... neural networks, computer vision, natural language processing, and/or reinforcement learning. • Experience with OCR (Optical Character Recognition) Tesseract, Google Vision API, or AWS Textract ...

Torc Robotics

Senior, ML Engineer - Auto Tagger

Ann Arbor, MI · On-site

$102K - $140K/yr

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 ...

Torc Robotics

Senior, ML Engineer - Auto Tagger

Ann Arbor, MI · On-site +1

$102K - $140K/yr

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 ...

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Neural Engineering information

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How much do neural engineering jobs pay per hour?

As of Jun 14, 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.

How much are neural engineers paid?

Neural engineers typically earn a median annual salary of around $80,000 to $120,000, depending on experience, education, and location. Entry-level positions may start lower, while experienced professionals with advanced skills in neurotechnology and programming can earn higher salaries, especially in research or industry settings.

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 engineers make $500,000?

Senior neural engineers, especially those with extensive experience, advanced degrees, and expertise in machine learning, neurotechnology, or biomedical applications, can earn salaries approaching or exceeding $500,000 annually. These roles often require specialized skills, leadership responsibilities, and work in high-demand industries such as healthcare, research, or tech companies. Compensation varies based on location, company size, and individual credentials.

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.

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 is the salary of a neuroengineer?

The salary of a neuroengineer typically ranges from $70,000 to $130,000 annually, depending on experience, education, location, and the specific employer. Entry-level positions may start lower, while experienced professionals with advanced skills in neural interfaces and computational modeling can earn higher salaries.

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.
More about Neural Engineering jobs
What are the most commonly searched types of Neural Engineering jobs in Michigan? The most popular types of Neural Engineering jobs in Michigan are:
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 job categories do people searching Neural Engineering jobs in Michigan look for? The top searched job categories for Neural Engineering jobs in Michigan are:
What cities in Michigan are hiring for Neural Engineering jobs? Cities in Michigan with the most Neural Engineering job openings:
Neural Engineering jobs near you
Infographic showing various Neural Engineering job openings in Michigan as of June 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $35,016 per year, or $16.8 per hour.
AI / ML Architect : Auburn Hills, MI / Onsite : Contract on w2

AI / ML Architect : Auburn Hills, MI / Onsite : Contract on w2

Marvel Technologies Inc

Auburn Hills, MI • On-site

$60.25 - $77.50/hr

Contractor

Posted 18 days ago

Job description

Role: AI / ML Architect

Location: Auburn Hills, MI / Onsite

Duration: Long Term

Job Summary: 

We are seeking an experienced AI/ML Architect to design and develop conversational AI solutions using Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have a strong background in natural language processing (NLP), machine learning, and software architecture, with expertise in building scalable and efficient conversational AI systems. The AI/ML Architect will work closely with cross-functional teams to develop AI-powered chatbots that leverage company documents and data to provide accurate and informative responses.

Key Responsibilities:

- Design and implement conversational AI architectures using RAG techniques

- Develop and train machine learning models for NLP tasks such as text classification, entity recognition, and language generation

- Integrate company documents and data into the conversational AI system

- Collaborate with software engineers to develop scalable and efficient software applications

- Conduct experiments and evaluations to improve the performance and accuracy of the conversational AI system

- Stay up-to-date with the latest advancements in NLP, machine learning, and conversational AI

Requirements:

 - Master's degree in Computer Science, AI/ML, or related field

- 5+ years of experience in AI/ML, with a focus on NLP and conversational AI

- Strong understanding of RAG techniques and their applications in conversational AI

- Experience with deep learning frameworks such as TensorFlow or PyTorch

- Knowledge of software architecture and design patterns

- Excellent problem-solving and analytical skills

- Strong communication and collaboration skills

- Relevant certifications (e.g., Certified Data Scientist) a plus

Nice to Have:

- Experience with cloud-based AI/ML platforms (e.g., AWS SageMaker, Google Cloud AI Platform)

- Knowledge of graph-based neural networks and their applications in NLP

- Familiarity with DevOps practices and tools (e.g., Docker, Kubernetes)

- Experience with agile development methodologies