BCI Internship: Hands-On ML, Hardware & Design in NYC

Synaptrix Labs; New York (NY); On-site; USD 25,000 - 35,000; Full time

Benefits offered by this job

Hands-on experience in brain-computer interfaces

Mentorship from experts

Dynamic workspace

Job summary

A leading neurotechnology company in New York City is looking for passionate interns to contribute to the development of brain-computer interfaces. Interns will engage in software and hardware projects, work on machine learning models, and help create user interfaces for individuals with mobility impairments. Ideal candidates are pursuing a degree in relevant fields and have strong teamwork skills. This internship provides hands-on experience in an innovative setting, directly impacting lives through technology.

Qualifications

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Biomedical Engineering, Neuroscience, or related field.
• 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.

Responsibilities

• Contribute to development of real-time software systems for neural signal processing and data visualization.
• Build and prototype non-invasive EEG-based BCI hardware.
• Design, train, and evaluate machine learning models for EEG/EMG decoding.
• Develop intuitive interfaces for individuals with mobility or communication impairments.
• Collaborate with the design team to prototype wearable neurotech devices.
• Support data collection and analysis in research sessions.
• Participate in cross-functional design reviews.
• Contribute to internal documentation for ongoing R&D projects.

Skills

Python

C++

JavaScript

Machine Learning

Arduino

PCB design

Figma

Fusion 360

SolidWorks

Education

Bachelor’s or Master’s degree in relevant field

Job description

A leading neurotechnology company in New York City is looking for passionate interns to contribute to the development of brain-computer interfaces. Interns will engage in software and hardware projects, work on machine learning models, and help create user interfaces for individuals with mobility impairments. Ideal candidates are pursuing a degree in relevant fields and have strong teamwork skills. This internship provides hands-on experience in an innovative setting, directly impacting lives through technology.