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Internship Neural Engineer Jobs in Chicago, IL (NOW HIRING)

Syntiant

Product Compliance Intern

Itasca, IL · On-site

$38K - $47K/yr

You will work closely with engineering, operations, suppliers, and customers to evaluate materials ... Interns may gain experience with: * RoHS Compliance, REACH Compliance, PFAS Regulations, TSCA ...

All JobsNeural Engineer JobsInternship Neural Engineer JobsInternship Neural Engineer Jobs in Chicago, IL

Internship Neural Engineer information

See Chicago, IL salary details

$11

$19

$30

How much do internship neural engineer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for internship neural engineer in Chicago, IL is $19.90, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $21.54 per hour, depending on experience, location, and employer.

What is an internship neural engineer?

An Internship Neural Engineer is a student or recent graduate working temporarily with a team to support the development and testing of neural engineering technologies. These interns typically assist with research, data analysis, software programming, and hardware integration related to brain-computer interfaces, neural prosthetics, or other neuroscience-related projects. The internship provides hands-on experience in a multidisciplinary field that combines neuroscience, engineering, and computer science, allowing interns to gain practical skills and contribute to ongoing research or product development.

What types of projects and responsibilities can I expect as an internship neural engineer?

As an Internship Neural Engineer, you can expect to work on a variety of projects involving the development, testing, and analysis of neural interfaces or brain-computer interface systems. Typical responsibilities include assisting with data collection and analysis, building and validating machine learning models, and supporting the design or prototyping of neural hardware or software tools. You will likely collaborate closely with senior engineers, neuroscientists, and software developers, gaining exposure to both experimental and computational aspects of the work. This hands-on experience is invaluable for building technical skills and understanding the interdisciplinary nature of neural engineering.

What are the key skills and qualifications needed to thrive as an internship neural engineer, and why are they important?

To thrive as an Internship Neural Engineer, you generally need a solid background in neuroscience, biomedical engineering, or a related field, with foundational knowledge of neural systems and signal processing. Familiarity with programming languages such as Python or MATLAB, experience with data analysis tools, and exposure to neural recording hardware or simulation software are typically required. Strong problem-solving skills, curiosity, and the ability to communicate complex ideas clearly help interns stand out in this interdisciplinary field. These skills are essential for effectively contributing to research, analyzing neural data, and collaborating on innovative solutions in neural engineering projects.
Internship Neural Engineer jobs near you

Data Scientist Internship

Kavi Software Technologies Private Limited

Barrington, IL • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Role: Data Scientist Intern 
Mode: Hybrid 
Location: Barrington, IL, 3 days per week in office 
Job Description: 
• Pursuing or recently completed a Master’s/Ph.D. in Data Science, Computer Science, Statistics, 
Operations Research, or a related quantitative field. 
• Hands-on experience with Machine Learning, Predictive Analytics, EDA, Statistical Modeling, and 
Feature Engineering. 
• Strong knowledge of Deep Learning, Neural Networks, Computer Vision, and image/video 
processing. 
• Experience with Time-Series Forecasting and quantitative models for demand planning and 
decision-making. 
• Knowledge of Mathematical Optimization, including Linear, Mixed-Integer, and Heuristic 
Optimization techniques. 
• Intermediate Experience with Agentic AI, LLMs, RAG, Multi-Agent workflows, and tools such as 
LangChain, LangGraph, CrewAI, and Hugging Face. 
• Intermediate Proficiency in Python, R, SQL and libraries including Pandas, NumPy, Scikit-learn, 
XGBoost/LightGBM, PyTorch/TensorFlow, OpenCV, Statsmodels, and optimization libraries. 

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