BCI Internship - Data Science Team

About the role

The BCI Data Science team develops the algorithms and signal-processing pipelines that lie at the heart of brain–computer interface (BCI) technology. We are a multidisciplinary group of data scientists, engineers, and neuroscientists who transform complex neural signals into reliable, real-time control. Working closely with hardware, software, and clinical teams, we design and optimize machine-learning models that push the boundaries of neural decoding. We value rigorous experimentation, creative problem-solving, and open collaboration.

Responsibilities

• Develop and validate predictive models using machine learning frameworks (PyTorch, TensorFlow, scikit-learn)
• Implement and optimize signal processing techniques including filtering, Fourier/wavelet transforms, and feature extraction
• Collaborate with hardware and software teams to integrate machine learning models into real-time systems
• Contribute to the design and optimization of neural decoding methods
• Work with clinical teams to understand and address the needs of end-users

Requirements

• Strong Python programming and software engineering fundamentals
• Experience with machine learning frameworks (PyTorch, TensorFlow, scikit-learn)
• Signal processing expertise (filtering, Fourier/wavelet transforms, feature extraction)
• Knowledge of neural decoding methods and real-time data streaming
• Ability to build and validate predictive models
• Statistical rigor in model evaluation and performance tuning
• Data-wrangling skills for large, high-dimensional datasets

Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field
• Experience with machine learning and signal processing
• Interest in neuroscience and brain-computer interface technologies

Skills

• Python programming
• Machine learning frameworks (PyTorch, TensorFlow, scikit-learn)
• Signal processing techniques
• Neural decoding methods

Benefits

• Public transportation pass reimbursement (up to $100/month)
• Company swag
• Company-sponsored events
• Company-sponsored intern social events
• 12 company-paid holidays
• 3 paid sick days
• Employee recognition program
• Weekly catered lunches
• Fully stocked kitchen with snacks and drinks

Pay

Competitive salary based on experience and qualifications.

Schedule

Full-time, 40 hours per week.