Research Intern (Fall) at Alljoined in San Francisco, CA

Summary: Alljoined is focused on solving communication challenges between humans and technology through innovative brain-computer interface research. As a Research Intern, you will contribute to developing computational infrastructure and optimizing pipelines for processing EEG datasets while collaborating with leading researchers in the field. 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 Qualifications: - 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 Preferred Qualifications: - 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 Required Skills: Python, Machine Learning, Algorithms, Data Structures Important Skills: PyTorch Nice-to-Have Skills: Neuroscience, Web Development, Signal Processing, EEG Benefits: Corporate housing provided, Potential for full-time conversion based on performance