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Neural Engineering Internship Jobs in Boston, MA

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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Neural Engineering Internship information

See Boston, MA salary details

$12

$20

$32

How much do neural engineering internship jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for neural engineering internship 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 is a neural engineering internship?

A Neural Engineering Internship provides hands-on experience in the field of neural interfaces, brain-computer interfaces (BCIs), and neuromodulation. Interns typically work on signal processing, machine learning, and hardware development for neurotechnology applications. They may assist in designing experiments, analyzing neural data, or developing medical devices. This role is ideal for students in biomedical engineering, neuroscience, or computer science who want to gain practical experience in neurotechnology.

What types of projects or tasks can I expect to work on during a neural engineering internship?

As a Neural Engineering Intern, you can expect to participate in a variety of hands-on projects such as analyzing neural data, helping design and test brain-computer interface systems, or developing algorithms for neural signal processing. You may also work closely with researchers and engineers to assist in laboratory experiments, device prototyping, or software development. Many internships include literature reviews, data visualization, and the opportunity to present findings to the team. These tasks are designed to give you a comprehensive introduction to current research and industry practices within neural engineering.

What are the key skills and qualifications needed to thrive in the neural engineering internship, and why are they important?

To thrive as a Neural Engineering Intern, you need a strong background in neuroscience, biomedical engineering, or electrical engineering, along with coursework or experience in signal processing and computational modeling. Familiarity with programming languages such as MATLAB or Python and use of lab equipment like EEG, MEG, or neural recording systems are highly beneficial. Critical thinking, effective communication, and a collaborative mindset help interns excel in research-driven, multidisciplinary teams. These skills enable interns to contribute meaningfully to projects, adapt to complex challenges, and succeed in this innovative field.

What are popular job titles related to Neural Engineering Internship jobs in Boston, MA?

For Neural Engineering Internship jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Neural Engineering Internship jobs in Boston, MA look for?

The top searched job categories for Neural Engineering Internship jobs in Boston, MA are:

What cities near Boston, MA are hiring for Neural Engineering Internship jobs?

Cities near Boston, MA with the most Neural Engineering Internship job openings:

Infographic showing various Neural Engineering Internship job openings in Boston, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $43,645 per year, or $21 per hour.

R&D Engineer - Sensor Data Analysis (Intern)

Delsys

Natick, MA • On-site

$28 - $34/hr

Internship

Re-posted 24 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