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Neural Engineering Jobs in Illinois (NOW HIRING)

Staff Data Scientist

Westchester, IL · On-site

$100 - $140/hr

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

New

Lead AI / ML Engineer

Chicago, IL · On-site

$105K - $139K/yr

Statistics and Probability Theory, Regression Modelling, Clustering Methods, Deep Learning, Neural ... Proficiency in programming languages like Python, R, or Java. Familiarity with AI and machine ...

New

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

... neural networks, k-means clustering, etc * Familiarity with feature store concepts or structured feature engineering pipelines * Exposure to Snowflake, Snowpark, or cloud data warehouse environments

... neural networks, k-means clustering, etc * Familiarity with feature store concepts or structured feature engineering pipelines * Exposure to Snowflake, Snowpark, or cloud data warehouse environments

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... neural network design and reinforcement learning agents - Applying natural language processing ...

New

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 ...

Product Compliance Intern

Itasca, IL · On-site

$38K - $47K/yr

You will work closely with engineering, operations, suppliers, and customers to evaluate materials ... neural network processors. Syntiant also provides compute-efficient software solutions with ...

Product Compliance Intern

Itasca, IL

$38K - $47K/yr

You will work closely with engineering, operations, suppliers, and customers to evaluate materials ... neural network processors. Syntiant also provides compute-efficient software solutions with ...

Product Compliance Intern

Itasca, IL · On-site

$38K - $47K/yr

You will work closely with engineering, operations, suppliers, and customers to evaluate materials ... neural network processors. Syntiant also provides compute-efficient software solutions with ...

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

Showing results 21-40

Neural Engineering information

See Illinois salary details

$10

$18

$28

How much do neural engineering jobs pay per hour?

As of Aug 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 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 the most commonly searched types of Neural Engineering jobs in Illinois? The most popular types of Neural Engineering jobs in Illinois are:
Infographic showing various Neural Engineering job openings in Illinois as of August 2026, with employment types broken down into 5% Internship, 80% Full Time, and 15% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $38,930 per year, or $18.7 per hour.

Graduate Machine Learning Researcher - Chicago

IMC

Chicago, IL • On-site

$300K/yr

Full-time

PTO

Re-posted 7 days ago


Job description

As a Graduate Machine Learning Researcher at IMC, your work will directly impact our global trading strategies. You will apply advanced machine learning, statistical, and computational techniques to solve complex, real-world trading problems, contributing to trading strategies across global equities, futures, and options markets. Machine Learning Researchers work closely with Traders and Developers in an environment where problem solving, innovation and teamwork are recognized and rewarded.
Your Core Responsibilities:
  • Design, implement, and evaluate machine learning models for trading applications, with successful research deployed into production
  • Apply rigorous statistical techniques to measure performance, control overfitting, and understand model risk and interpretability
  • Investigate novel machine learning approaches through rigorous experimentation and analysis in real trading environments
  • Communicate research progress and outcomes effectively, ensuring knowledge transfer within the team and across departments
  • Collaborate closely with traders, researchers, and engineers to translate research into production trading systems

Your Skills and Experience:
  • PhD in Machine Learning, Computer Science, Electrical Engineering, Mathematics, Statistics, Physics or a related quantitative field
  • Strong foundations in machine learning, probability, and statistics, with experience applying advanced ML techniques to solve challenging research or real-world problems
  • Demonstrated hands-on research experience in deep learning fundamentals such as neural network architectures, sequence modeling, training dynamics, or optimization
  • Proficiency in Python and modern machine learning frameworks such as PyTorch, Tensorflow, and/or JAX
  • Demonstrated research excellence through publications, preprints, research internships, or significant research projects; publications at venues such as NeurIPS, ICML, ICLR, or equivalent conferences are highly preferred
  • Ability to commence full-time employment in February or August 2027

You may submit one application per role each year. We strongly encourage you to focus on applying to a single role that best matches your skills and interests. Though you may apply to multiple roles, please note that each application will be evaluated based on the specific criteria established for that particular role. If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in 2027.
The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.
Base Salary: $300,000
About Us
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we've been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.