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Internship Neural Engineer Jobs in Boston, MA (NOW HIRING)

Familiarity with MLOps and DevOps best practices * Exposure to distributed computing (Microsoft ... Relevant industry experience via internship and co-op (AI, Drug Discovery, etc.) #LI-Onsite

... Graph Neural Networks, etc.) • Demonstrated experience writing clean, maintainable, production ... DevOps best practices • Exposure to distributed computing (Microsoft Azure, HPC Cluster, etc ...

... Graph Neural Networks, etc.) • Demonstrated experience writing clean, maintainable, production ... DevOps best practices • Exposure to distributed computing (Microsoft Azure, HPC Cluster, etc ...

... Graph Neural Networks, etc.) • Demonstrated experience writing clean, maintainable, production ... DevOps best practices • Exposure to distributed computing (Microsoft Azure, HPC Cluster, etc ...

... Graph Neural Networks, etc.) • Demonstrated experience writing clean, maintainable, production ... DevOps best practices • Exposure to distributed computing (Microsoft Azure, HPC Cluster, etc ...

We hire top 1% talent to join our interdisciplinary team of scientists, engineers, researchers ... Experience training and deploying cutting edge deep learning methods (Transformers, Graph Neural ...

We hire top 1% talent to join our interdisciplinary team of scientists, engineers, researchers ... Experience training and deploying cutting edge deep learning methods (Transformers, Graph Neural ...

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Internship Neural Engineer information

See Boston, MA salary details

$12

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$32

How much do internship neural engineer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for internship neural engineer in Boston, MA is $20.98, according to ZipRecruiter salary data. Most workers in this role earn between $17.50 and $22.74 per hour, depending on experience, location, and employer.

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.

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 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.

R&D Engineer - Sensor Data Analysis (Intern)

Delsys

Natick, MA • On-site

$28 - $34/hr

Internship

Re-posted 25 days ago


Job description


Delsys is seeking highly motivated candidates to contribute to our next-generation neural processing systems. Delsys R&D Interns (Biomedical) collaborate with engineers and scientists to solve challenges spanning the fields of movement science & human health. The candidate for this position will primarily be involved in developing post-processing data pipelines used to study EMG, motion capture data, and other bio-signals from multi-modal sensors.
Primary Responsibilities:
• Design and implement machine learning and computer vision pipelines that directly contribute to our core research
• Translate proven research algorithms and solutions into commercial products
• Collaborate on a team to deliver sound and vetted software
• Develop and deploy distributed microservices for real-time applications
Requirements
• Fluent in Python, C, C++, C#
• Strong object-oriented design skills
• Working knowledge of signal processing
• Experience working with time series signals
• Be currently enrolled in or have completed an undergraduate or graduate degree in biomedical engineering (signal processing and coding background) computer engineering, computer science, data science (signal processing background) or a similar degree program
• Must be able to show valid work eligibility