Alljoined aims to solve the communication bottleneck between humans and technology by decoding thoughts from the brain, entirely non-invasively. We apply deep learning research to large scale EEG datasets collected on affordable hardware to decode stimuli like images, and eventually emotion, intent, train of thought and more. Targeting business applications first, we will eventually create a general consumer interface for productivity, entertainment and AI applications.
We are actively growing our world-class team of researchers to build the most performant and accessible interface to greatly improve the quality of individual lives as well as the well-being of society as a whole.
About the RoleAs a Research Intern, you will contribute to building the computational infrastructure that powers our breakthrough brain-computer interface research. You'll work at the intersection of neuroscience and machine learning, developing and optimizing pipelines that process massive EEG datasets and implementing cutting-edge deep learning experiments. This role offers hands-on experience with state-of-the-art neural decoding technology while working alongside world-class researchers pushing the boundaries of what's possible in brain-computer interfaces.
About YouCurrently pursuing or recently completed a degree in Computer Science, Software Engineering, or related field
Strong programming skills in Python with ability to quickly learn new frameworks
Solid understanding of algorithms and data structures
Problem-solving mindset with attention to detail in experimental work
Ability to work collaboratively in a fast-paced research environment
Enthusiasm for learning about neuroscience and brain-computer interfaces
Implement and run computational experiments using PyTorch, adapting existing models or developing new ones as research requires
Develop performant, distributed pipelines and algorithms for EEG data processing and analysis
Perform rigorous quality checks and preprocessing to ensure data integrity
Experiment with different parameters to optimize EEG data collection and analysis conditions
Collaborate with computational neuroscientists, ML researchers, and engineers on cutting-edge research projects
Maintain thorough documentation of experiments, procedures, and results
Programming Proficiency: Strong Python skills with ability to implement algorithms and quickly learn ML techniques in PyTorch
Computer Science Fundamentals: Solid grasp of CS principles, algorithmic thinking, and problem-solving
Full-Stack Familiarity: Experience with web development (React, SQL) is a plus but not required
Experience with deep learning frameworks and techniques
Knowledge of signal processing for data preprocessing and analysis
Familiarity with EEG or other neuroimaging modalities
Previous research or project experience in experimental design
$30/hour USD
Corporate housing provided
Potential for full-time conversion based on performance
Skills Required
- Currently pursuing or recently completed a degree in Computer Science or Software Engineering
- Strong programming skills in Python
- Solid understanding of algorithms and data structures
- Ability to work collaboratively in a fast-paced research environment
What We Do
Alljoined develops neural decoding technology to interpret brain signals non-invasively, aiming to bridge the gap between human thought and technology by applying deep learning research to EEG datasets to decode images, emotions, and thoughts.
