ZipRecruiter

Log In

1

Internship Emg Jobs (NOW HIRING)

Synaptrix Labs

Internship Program

New York, NY · On-site

$18.25 - $23.75/hr

Design, train, and evaluate machine learning models for EEG/EMG decoding, denoising, and signal ... Availability for an internship in New York City. Preferred Qualifications: * Prior experience with ...

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

Design, train, and evaluate machine learning models for EEG/EMG decoding, denoising, and signal ... Availability for an internship in New York City. Preferred Qualifications: * Prior experience with ...

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

Design, train, and evaluate machine learning models for EEG/EMG decoding, denoising, and signal ... Availability for an internship in New York City. Preferred Qualifications: * Prior experience with ...

MedTrust LLC

Med/Rehab Physician

Fort Belvoir, VA · On-site

$146/hr

Electromyography (EMG), Nerve conduction velocity (NCV), Repetitive Stimulation Studies (RSS ... For purposes of this standard, graduate training programs include only those internship, residency ...

MedTrust

Med/Rehab Physician

Fort Belvoir, VA

$146/hr

Electromyography (EMG), Nerve conduction velocity (NCV), Repetitive Stimulation Studies (RSS ... For purposes of this standard, graduate training programs include only those internship, residency ...

next page

Showing results 1-20

People also search for

All JobsInternship Emg Jobs

Internship Emg information

See salary details

$8

$15

$21

How much do internship emg jobs pay per hour?

As of May 31, 2026, the average hourly pay for internship emg in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Engineering Intern, and why are they important?

To thrive as an Engineering Intern, you need a foundational understanding of engineering principles, relevant coursework, and enrollment in or completion of an engineering degree program. Familiarity with technical tools such as CAD software, MATLAB, or industry-specific platforms is often expected. Strong problem-solving skills, teamwork, and effective communication help interns stand out in collaborative and learning-focused environments. These skills and qualifications ensure that interns can contribute meaningfully to engineering projects while developing professionally.

What types of projects or tasks can I expect to work on during an Engineering Internship (Emg.)?

As an Engineering Intern, you can expect to work on a variety of hands-on and collaborative projects, such as assisting with design work, supporting testing and analysis, or contributing to ongoing research and development efforts. Interns often work closely with experienced engineers, gaining exposure to real-world engineering problems and learning industry-standard tools and processes. Your daily tasks may include updating technical documentation, participating in team meetings, or running simulations under supervision. This environment is designed to provide valuable practical experience and help you build a professional network within the engineering field.

What are Internship EMG positions?

Internship EMG positions are internship roles within companies or organizations that focus on the field of Electromyography (EMG), a diagnostic procedure used to assess the health of muscles and the nerve cells that control them. These internships typically provide hands-on experience in conducting EMG tests, analyzing results, and learning about neurophysiological diagnostics under the supervision of experienced professionals. Interns may work in hospitals, clinics, research institutions, or medical device companies and gain valuable exposure to patient care and medical technology. Such positions are ideal for students or recent graduates interested in neurology, biomedical engineering, or related healthcare fields.

What is the difference between Internship Emg vs Emergency Medical Technician (EMT)?

AspectInternship EmgEmergency Medical Technician (EMT)
Required CredentialsTypically no formal certification, but may include basic first aid or emergency response trainingState-certified EMT license or certification required
Work EnvironmentTraining setting, hospitals, or emergency response simulationsReal emergency scenes, ambulances, hospitals
Employer & Industry UsageHospitals, emergency response programs, training institutionsAmbulance services, fire departments, hospitals

Internship Emg is a training position providing exposure to emergency response, often without formal certification. EMT is a licensed professional responsible for providing pre-hospital emergency care. While internships focus on learning and observation, EMTs actively deliver emergency medical services in real-world scenarios.

More about Internship Emg jobs
What cities are hiring for Internship Emg jobs? Cities with the most Internship Emg job openings:
What are the most commonly searched types of Emg jobs? The most popular types of Emg jobs are:
What states have the most Internship Emg jobs? States with the most job openings for Internship Emg jobs include:
What job categories do people searching Internship Emg jobs look for? The top searched job categories for Internship Emg jobs are:
Internship Emg jobs near you
Infographic showing various Internship Emg job openings in the United States as of May 2026, with employment types broken down into 10% Full Time, and 90% Part Time. Highlights an 80% Physical, and 20% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.

Internship Program

Synaptrix Labs

New York, NY • On-site

$18.25 - $23.75/hr

Full-time, Internship

Posted 23 days ago

Job description

About Synaptrix Labs Inc.
Synaptrix is on a mission to revolutionize brain-computer interfaces through non-invasive approaches. We believe that the power to diagnose and treat neurological conditions safely, and to expand human potential, will become a reality with the right fusion of deep learning, signal processing, and computational neuroscience.
We're seeking passionate, creative, and technically driven interns to join our team across multiple disciplines: Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX Design. If you're excited about building the future of brain-computer interfaces and want to work at the intersection of neuroscience, AI, and human experience, we want to hear from you.
Responsibilities:
Depending on your background and interests, you may:
  • Contribute to development of real-time software systems for neural signal processing and data visualization.
  • Build and prototype non-invasive EEG-based BCI hardware, from electrode arrays to embedded microcontroller systems.
  • Design, train, and evaluate machine learning models for EEG/EMG decoding, denoising, and signal enhancement.
  • Develop intuitive interfaces and user experiences for individuals with mobility or communication impairments.
  • Collaborate with the design team to prototype wearable and ergonomic form factors for next-generation neurotech devices.
  • Support data collection and analysis in research sessions, assisting with experimental setup and instrumentation.
  • Participate in cross-functional design reviews and brainstorming sessions that bring together neuroscience, AI, and engineering.
  • Contribute to internal documentation, test plans, and experimental logs for ongoing R&D projects.

Minimum Qualifications:
  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering, Biomedical Engineering, Neuroscience, Mechanical/Industrial Design, or a related field.
  • Demonstrated experience with one or more of the following:
    • Software: Python, C++, or JavaScript
    • Machine Learning: PyTorch, TensorFlow, or JAX
    • Hardware: Arduino, PCB design, or embedded systems
    • Design: Figma, Fusion 360, SolidWorks, or similar tools
  • Strong problem-solving ability and curiosity about neuroscience, AI, or human-machine interfaces.
  • Excellent communication and teamwork skills; thrives in a fast-paced, interdisciplinary environment.
  • Availability for an internship in New York City.

Preferred Qualifications:
  • Prior experience with EEG/EMG systems, biosignal acquisition, or data analysis.
  • Familiarity with deep learning for time-series or multimodal data.
  • Experience designing assistive devices, wearables, or medical technology.
  • Portfolio, GitHub, or research projects demonstrating creative technical work.
  • Interest in startups, prototyping, and early-stage innovation.

About our Culture:
At Synaptrix Labs, we celebrate curiosity, open collaboration, and scientific rigor. Our interdisciplinary team spans neuroscience, AI, and clinical research, and we are united by the belief that non-invasive BCI is the key to unlocking a new era in healthcare, accessibility, and human augmentation.
As an intern, you'll work directly alongside engineers, researchers, and designers who are defining the next generation of brain-computer interfaces. You'll be encouraged to explore bold ideas, experiment freely, and take ownership of meaningful projects from day one.
What We Offer:
  • Hands-on experience in one of the world's most exciting emerging fields: brain-computer interfaces
  • Opportunity to contribute to technology that directly improves lives
  • Mentorship from scientists, engineers, and founders building real neurotechnology products
  • Dynamic NYC workspace blending lab, workshop, and creative studio environments
  • Potential for full-time conversion after graduation

Apply