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Neural Engineering Jobs in Illinois (NOW HIRING)

Ritchie Bros.

Senior Staff Data Scientist

Westchester, IL · On-site

$142K - $178K/yr

... engineering, model training, hyperparameter tuning, evaluation, deployment, and monitoring * Strong foundation in statistics and core ML algorithms (gradient boosting, neural networks, clustering ...

Ritchie Bros.

Staff Data Scientist

Westchester, IL · On-site

$117K - $176K/yr

Perform feature engineering, data validation, and quality assurance across large, complex datasets ... neural networks, clustering, dimensionality reduction) * Experience working with large-scale ...

Ritchie Bros.

Staff Data Scientist

Westchester, IL

Perform feature engineering, data validation, and quality assurance across large, complex datasets ... neural networks, clustering, dimensionality reduction) * Experience working with large-scale ...

Shure

Applied Research Science Intern

Niles, IL · Hybrid

$23 - $43/hr

The intern will work with a team of data scientists and engineers to prototype and realize novel ... neural network models and other advanced algorithms * The intern may adapt models for ...

Shure

Applied Research Science Intern

Niles, IL · Hybrid

$23 - $43/hr

The intern will work with a team of data scientists and engineers to prototype and realize novel ... neural network models and other advanced algorithms * The intern may adapt models for ...

Shure

Applied Research Science Intern

Niles, IL · On-site

$23 - $43/hr

The intern will work with a team of data scientists and engineers to prototype and realize novel ... neural network models and other advanced algorithms * The intern may adapt models for ...

Shure

Applied Research Science Intern

Niles, IL · Hybrid

$23 - $43/hr

The intern will work with a team of data scientists and engineers to prototype and realize novel ... neural network models and other advanced algorithms * The intern may adapt models for ...

US Bank

Principal AI Research Scientist

Chicago, IL · On-site

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

Vizient

AVP, Machine Learning & Modeling

Chicago, IL · On-site

$156K - $290K/yr

Oversee teams of data scientists, modelers, and ML engineers to deliver innovative and scalable ... methods, neural networks). * Strong proficiency in Python, SQL, and with cloud-based AI/ML ...

Kemper

Senior Data Scientist

Chicago, IL · On-site

Collaborates with data scientists, data engineers, and business partners to develop scalable ... or neural networks. * Ability to develop readable, maintainable, modular, and well-documented ...

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Neural Engineering information

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How much do neural engineering jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for neural engineering in Illinois is $18.72, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $20.29 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 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 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 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.

How much do neural engineers make?

Neural engineers typically earn a median annual salary of around $80,000 to $120,000, depending on experience, education, and location. Advanced skills in neurotechnology, programming, and biomedical engineering can lead to higher compensation, especially in research or industry roles.

Is neural engineering a good career?

Neural engineering is a growing field that combines neuroscience, engineering, and technology to develop medical devices and brain-computer interfaces. It offers opportunities in research, healthcare, and industry, often requiring advanced degrees and technical skills. The career can be rewarding for those interested in innovation and interdisciplinary work.

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 industry settings, utilizing skills in neuroscience, engineering, and programming tools like MATLAB or Python. Opportunities include roles in biomedical device development, neural data analysis, and clinical applications.
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What are the most commonly searched types of Neural Engineering jobs in Illinois?

The most popular types of Neural Engineering jobs in Illinois are:

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

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

What job categories do people searching Neural Engineering jobs in Illinois look for?

The top searched job categories for Neural Engineering jobs in Illinois are:

Neural Engineering jobs near you
Infographic showing various Neural Engineering job openings in Illinois as of September 2026, with employment types broken down into 1% Internship, 83% Full Time, 11% Part Time, 2% Contract, and 3% Nights. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $38,930 per year, or $18.7 per hour.

Senior Staff Data Scientist

Ritchie Bros.

Westchester, IL • On-site

$142K - $178K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago

Ritchie Bros. Auctioneers rating

7.5

Company rating: 7.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

5th of 19 rated auctioneers

Job description


About the Role
The Senior Staff Engineer - Data Science will serve as a technical leader in advancing IAA's Machine Learning (ML) and advanced analytics capabilities. This role involves architecting and building sophisticated ML systems, including supervised, unsupervised, and deep learning models, as well as AI agentic applications, with a strong business orientation and a proven track record of delivering high-impact, data-driven solutions at scale. The Senior Staff Engineer will drive the technical vision for machine learning across the organization, implementing scalable solutions that deliver measurable growth and operational efficiency.
Working closely with cross-functional teams within the IAA ecosystem, the Senior Staff Engineer will lead the integration of ML and AI solutions into enterprise-scale services. This role requires deep expertise in data best practices and system design to ensure the most appropriate data sources, architectures, and approaches are leveraged to solve complex business problems across customer behavior, vehicle listings, and other business-critical domains.
Responsibilities
  • Define and drive the technical roadmap for data science and ML initiatives across the organization
  • Architect and build end-to-end ML systems, from problem framing and data strategy through model development, deployment, and monitoring at scale
  • Design and build advanced supervised, unsupervised, and deep learning models, including NLP and computer vision solutions, to solve high-impact business problems
  • Develop AI agentic applications and LLM-powered solutions to automate workflows and unlock new capabilities
  • Perform feature engineering, data validation, and quality assurance across large, complex datasets
  • Partner with data engineering, ML platform, and software engineering teams to productionize models and ensure scalability, reliability, and monitoring
  • Translate ambiguous, cross-functional business challenges into well-scoped technical strategies and communicate findings to executive and non-technical stakeholders
  • Mentor and elevate staff and senior data scientists, and establish best practices, standards, and technical direction across the data science team

Required Qualifications
  • 8+ years of experience building and deploying production machine learning systems, including supervised, unsupervised, and deep learning approaches
  • Advanced proficiency in Python and SQL, with deep experience in ML libraries such as scikit-learn, PyTorch or TensorFlow, pandas, and NumPy
  • Strong hands-on experience in Natural Language Processing (NLP) and computer vision applications
  • Hands-on experience building AI agentic applications using LangChain, LangGraph, or similar frameworks, including integration with LLMs and external tools/APIs
  • Hands-on experience with the full ML lifecycle: feature engineering, model training, hyperparameter tuning, evaluation, deployment, and monitoring
  • Strong foundation in statistics and core ML algorithms (gradient boosting, neural networks, clustering, dimensionality reduction)
  • Experience architecting ML solutions on large-scale datasets using distributed computing frameworks (Spark, Dask) and cloud platforms (AWS, Azure, or GCP)
  • Demonstrated ability to set technical direction, influence cross-functional roadmaps, and communicate complex technical strategies to executive stakeholders
  • Track record of mentoring senior data scientists and raising the technical bar across a data science organization

Preferred Qualifications
  • Experience with Model Context Protocol (MCP) for building interoperable AI agent integrations across tools, data sources, and enterprise systems
  • Experience designing and orchestrating multi-agent AI systems, including tool-use agents, retrieval-augmented generation (RAG) pipelines, and autonomous decision-making workflows
  • Familiarity with Large Language Models (LLMs), prompt engineering, and Generative AI techniques
  • Experience with MLOps practices and CI/CD pipelines for machine learning workflows
  • Experience with real-time inference systems and low-latency model serving
  • Contributions to open-source projects

About Us
IAA Holdings, LLC (IAA)
IAA Holdings, LLC (IAA), a Ritchie Bros. Auctioneers company (NYSE: RBA) and (TSX: RBA), is a trusted global marketplace for insights, services, and transaction solutions for commercial assets and vehicles. Leveraging leading-edge technology and focusing on innovation, IAA's unique platform facilitates the marketing and sale of total-loss, damaged and low-value vehicles. IAA serves a global buyer base - located throughout over 170 countries - and a full spectrum of sellers, including insurers, dealerships, fleet lease and rental car companies, and charitable organizations. Buyers have access to multiple digital bidding and buying channels, innovative vehicle merchandising, and efficient evaluation services, enhancing the overall purchasing experience. IAA offers sellers a comprehensive suite of services aimed at maximizing vehicle value, reducing administrative costs, shortening selling cycle time and delivering the highest economic returns.
RB Global full-time employees are offered medical, dental, vision, and basic life insurances. Employees are able to enroll in our company's 401k plan and RB Global will match 100% for the first 4% contributed. Employees will also receive 15 days of PTO each year.

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