About Alljoined

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 Role

As 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 You

• Currently 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

Responsibilities

• 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

Required Skills

• 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

Nice to Have

• 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

Compensation & Benefits

• $30/hour USD

• Corporate housing provided

• Potential for full-time conversion based on performance