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Neural Engineer Jobs in Minnesota (NOW HIRING)

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Neural Engineer information

See Minnesota salary details

$58.3K

$109.3K

$198.8K

How much do neural engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for neural engineer in Minnesota is $109,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,800.00 and $129,800.00 per year, depending on experience, location, and employer.

What jobs can you do with neural engineering?

Neural engineers can work in research and development roles focused on brain-computer interfaces, neural prosthetics, and neurotechnology devices. They often work in healthcare, biotech, or academic settings, applying skills in signal processing, neuroscience, and engineering design to develop innovative solutions for neurological disorders and brain-machine communication.

What does a neural engineer do?

A neural engineer designs and develops technologies to interface with the nervous system, such as brain-computer interfaces, neural implants, and signal processing algorithms. They often work with neuroscience, biomedical engineering, and programming tools to create solutions for medical, research, or prosthetic applications.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High-paying engineering positions often require advanced degrees, certifications, and expertise in high-demand areas or management responsibilities.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often involves bonuses, stock options, or profit sharing, particularly in technology and energy sectors.

What types of projects and collaborations can a Neural Engineer expect to be involved in?

As a Neural Engineer, you may work on projects ranging from designing brain-computer interfaces and neural prosthetics to analyzing complex neural signals for clinical or research applications. Collaboration with neuroscientists, clinicians, software developers, and hardware engineers is common, ensuring a multidisciplinary approach to solving neurological challenges. Your daily responsibilities might include data analysis, prototyping, testing devices, and presenting findings to your team. This role offers opportunities to influence cutting-edge research and directly contribute to advancements in healthcare and neurotechnology.

What does a Neural Engineer do?

A Neural Engineer applies principles from neuroscience, engineering, and computer science to develop technologies that interface with the nervous system. This includes designing brain-computer interfaces, neuroprosthetics, and medical devices for treating neurological disorders. They work with signal processing, machine learning, and biomedical hardware to understand and manipulate neural activity. Their work has applications in healthcare, rehabilitation, and human augmentation.

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

To thrive as a Neural Engineer, you need a strong background in biomedical engineering, neuroscience, and signal processing, often supported by an advanced degree in a related field. Proficiency with tools like MATLAB, Python, neural data acquisition systems, and familiarity with medical device regulations or certifications are commonly required. Problem-solving abilities, interdisciplinary teamwork, and effective communication set standout candidates apart. These skills and qualities are crucial for innovating and safely developing neural devices and technologies that bridge engineering and neuroscience.

What are popular job titles related to Neural Engineer jobs in Minnesota? For Neural Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Neural Engineer jobs in Minnesota look for? The top searched job categories for Neural Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Neural Engineer jobs? Cities in Minnesota with the most Neural Engineer job openings:
Neural Engineer jobs near you
Infographic showing various Neural Engineer job openings in Minnesota as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $109,333 per year, or $52.6 per hour.
Senior Principal AI/ML Engineer - Research Sovereign AI

Senior Principal AI/ML Engineer - Research Sovereign AI

Mayo Clinic

Rochester, MN

$115K - $158K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 18 days ago

Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 679 frontline employees who took The Breakroom Quiz

131st of 872 rated healthcare providers

Job description

Position Summary

The Senior Principal AI/ML Engineer  for AI Representation & EMR Vectorization is the senior technical leader and lead scientist responsible for architecting Mayo Clinic's unified multimodal EMR representation layer. This role defines and builds the scientific substrate used by foundational models, clinical agents, and research applications. The individual serves as a hands-on expert and player-coach, guiding technical strategy while contributing directly to model development, graph construction, and representation science. Over time, this position will build and lead a specialized team. 

Key Responsibilities

Scientific & Technical Leadership

  • Design and implement Mayo's multimodal EMR representation AI architecture, including text, imaging, waveform, structured data, temporal sequences, and multi-visit trajectories.
  • Develop graph-based representations and knowledge graphs linking patients, events, attributes, clinical concepts, and embeddings.
  • Integrate graph reasoning, vector similarity search, and hybrid vector-graph pipelines for retrieval-augmented models and agentic reasoning.
  • Define standards for temporal modeling, drift-aware embeddings, and sequence alignment across encounters.

Hands-On Modeling & Engineering

  • Build large-scale embedding pipelines using transformer-based models, contrastive learning, graph neural networks, and hybrid architectures.
  • Implement efficient query layers using vector stores and graph databases.
  • Develop interpretable embedding diagnostics, attribution tools, and graph-based audits to enable safe clinical use.
  • Explore and implement methods for explaining similarity, graph traversals, temporal evolution, and patient-neighborhood reasoning.

Cross-functional Collaboration

  • Work with AI researchers on specialty-specific embeddings, representation refinement, and research prototypes.
  • Collaborate with clinicians to operationalize clinically meaningful features, phenotypes, and longitudinal concepts.
  • Provide scientific input to the Foundational Model Science Program to ensure alignment between representations and model architectures.

Team Leadership

  • Serve as founding technical lead of the Reasoning EMR Representation team.
  • Mentor junior scientists and engineers; build a future team specializing in representation learning and graph-based reasoning.
Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

Benefits Highlights
  • Medical: Multiple plan options.
  • Dental: Delta Dental or reimbursement account for flexible coverage.
  • Vision: Affordable plan with national network.
  • Pre-Tax Savings: HSA and FSAs for eligible expenses.
  • Retirement: Competitive retirement package to secure your future.
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. 

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law".  Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

Required

  • Master's in Computer Science, Machine Learning, Biomedical Engineering, or related field. 9 years of relevant experience, or a bachelor's degree with 11 years of relevant experience. 
  •  Extensive (9+ years) experience applying AI and machine learning in production healthcare environments or similar highly regulated or technology focused industries, showcasing an acute understanding of healthcare technology.
  • Hands-on expertise with graph databases, and knowledge graph construction.
  • Strong experience with transformer-based models, contrastive learning, and temporal modeling.

  • Experience designing or deploying vector search systems and hybrid vector-graph reasoning pipelines.

Preferred

  • PhD or Master's in Computer Science, Machine Learning, Biomedical Engineering, or related field.
  • 10+ years experience building production ML systems, including multimodal architectures and representation learning.
  • Experience with EMR data, healthcare multimodality, or clinical data integration.
  • Experience building patient similarity models, temporal embedding systems, or phenotype discovery pipelines.
  • Strong background in explainability, causality, or interpretable ML.
  • Prior experience in a player-coach or team-lead role.

What Mayo Clinic employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Mayo Clinic

Sourced by ZipRecruiter

Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919

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