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Neural Engineering Jobs in Minnesota (NOW HIRING)

System One

Data Scientist

Minneapolis, MN · On-site

... and neural networks). * Write scalable, production-grade Python code to wrap models into ... Build and maintain automated data preprocessing, feature engineering, and model evaluation ...

System One

Data Scientist

Minneapolis, MN · On-site

... and neural networks). * Write scalable, production-grade Python code to wrap models into ... Build and maintain automated data preprocessing, feature engineering, and model evaluation ...

University of Minnesota

Faculty Positions

Minneapolis, MN · On-site

$110K - $130K/yr

Computer Engineering: Expertise in chip design and verification, design automation, computer ... Theoretical areas of interest include (but are not limited to) optimization, neural networks, and ...

System One

Data Scientist

Minneapolis, MN · On-site

... and neural networks). * Write scalable, production-grade Python code to wrap models into ... Build and maintain automated data preprocessing, feature engineering, and model evaluation ...

Us Bank

Principal AI Research Scientist

Minneapolis, MN · On-site

$149.51 - $175.90/hr

The ideal candidate combines deep scientific expertise with strong software engineering and ... Deep expertise in machine learning, deep learning, neural networks, transformer architectures, and ...

U.S. Bank

AI Research Scientist

Minneapolis, MN · On-site

The ideal candidate combines strong scientific and engineering expertise with a practical mindset ... Deep expertise in machine learning, deep learning, neural networks, transformer architectures, and ...

US Bank

AI Research Scientist

Minneapolis, MN · On-site

The ideal candidate combines strong scientific and engineering expertise with a practical mindset ... Deep expertise in machine learning, deep learning, neural networks, transformer architectures, and ...

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Neural Engineering information

See Minnesota salary details

$10

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$28

How much do neural engineering jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for neural engineering in Minnesota is $18.92, according to ZipRecruiter salary data. Most workers in this role earn between $15.77 and $20.48 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.
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What are popular job titles related to Neural Engineering jobs in Minnesota? For Neural Engineering jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Neural Engineering jobs in Minnesota look for? The top searched job categories for Neural Engineering jobs in Minnesota are:
What cities in Minnesota are hiring for Neural Engineering jobs? Cities in Minnesota with the most Neural Engineering job openings:
Neural Engineering jobs near you
Infographic showing various Neural Engineering job openings in Minnesota as of August 2026, with employment types broken down into 5% Internship, 78% Full Time, and 17% Contract. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $39,347 per year, or $18.9 per hour.

Data Scientist

System One

Minneapolis, MN • On-site

Other

Medical, Dental, Vision, Life, Retirement

Posted 17 days ago

Job description

Job Title: Data Scientist Location: Minneapolis, MN Job Summary: System One is seeking a Data Scientist with 5+ years of hands-on experience to design, build, and deploy production-grade machine learning models. In this role, you will bridge the gap between traditional data science and software engineering by writing clean, modular Python code to build robust AI capabilities embedded directly into our enterprise products and systems. Responsibilities

  • Design, train, and validate traditional predictive and analytical machine learning models (regression, classification, decision trees, time-series, and neural networks).
  • Write scalable, production-grade Python code to wrap models into microservices and expose them via RESTful APIs for real-time inference.
  • Build and maintain automated data preprocessing, feature engineering, and model evaluation pipelines using CI/CD and MLOps best practices.
  • Track model performance, data drift, and latency in production, ensuring reliability and accuracy over time.
  • Collaborate directly with executive leadership, product directors, and enterprise architects to define the AI/ML product roadmap.
Requirements
  • 5-7+ years of progressive professional experience designing, shipping, and maintaining complex ML/AI solutions in enterprise production environments.
  • Experience building and deploying machine learning models in a production environment.
  • Strong practical experience with core ML algorithms (scikit-learn, XGBoost, LightGBM, statsmodels, PyTorch, or TensorFlow).
  • Demonstrated capability in writing clean, PEP 8-compliant, modular, and object-oriented Python code (beyond Jupyter notebooks).
  • Experience using automated testing frameworks (pytest, unittest) and writing unit/integration tests.
  • Hands-on experience developing RESTful APIs using frameworks like FastAPI or Flask.
  • Familiarity with containerization technologies (Docker) and version control workflows (Git, GitHub Actions, or GitLab CI/CD).
  • Advanced SQL proficiency and experience querying structured and unstructured datasets.
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related quantitative field.
Preferred Qualifications:
  • Generative AI & Enterprise LLMs: Hands-on experience developing, fine-tuning (LoRA/QLoRA), or deploying proprietary Large Language Models (LLMs), agentic frameworks, custom embeddings, or enterprise RAG systems.
  • Experience with GPU acceleration frameworks (CUDA, TensorRT, vLLM, Ollama).
  • Demonstrated leadership in mentoring teams and defining enterprise data and AI governance policies.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

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Ref: #431-IT Tampa