AI/Machine Learning Engineer, Neuro-AI

Cahira Technologies • Boston, MA

2d

About The Position

Cahira Technologies is seeking AI/Machine Learning Engineers to architect and implement the core AI pipelines that drive their innovative solutions in adaptive neuromodulation. This role involves leveraging vast neuroscientific datasets to develop intelligent systems that optimize cognitive function and precisely target disease states. It's an opportunity to build the future of Neuro-AI and make a transformative impact on human health and performance.

Requirements

• PhD or Master's degree in Computer Science, Electrical Engineering, or a related quantitative field.
• 5+ years of experience in AI/Machine Learning engineering, with a strong portfolio of successfully deployed ML models.
• Expertise in Deep Learning architectures, especially for time-series data (RNNs, LSTMs, Transformers, CNNs).
• Proficiency in Python and leading ML frameworks (e.g., PyTorch, TensorFlow).
• Demonstrated experience with multimodal data fusion and complex data preprocessing.
• Solid understanding of MLOps principles for building robust and scalable ML systems.
• Experience with cloud computing platforms (AWS, GCP, Azure) and their AI/ML services.

Nice To Haves

• Experience with Reinforcement Learning (RL) for control systems or optimization.
• Familiarity with neuroscientific data (EEG, fMRI, LFP, spikes) and common neuroimaging/electrophysiology analysis toolboxes.
• Experience with Explainable AI (XAI) techniques for medical/neuroscience applications.
• Experience with Edge-AI
• Experience with foundation models
• Background in signal processing for biological signals.

Responsibilities

• Design, develop, and deploy scalable ML pipelines for ingesting, cleaning, and processing diverse multimodal neuroscience data (EEG, fMRI, LFP, single-spike, behavioral, clinical, blood test data).
• Lead the research, development, and training of advanced AI models (Deep Learning, Reinforcement Learning) to predict optimal brain states for cognitive enhancement and identify/predict pathological brain patterns associated with neurological disorders.
• Generate personalized, adaptive neuromodulation parameters for both enhancement and disease treatment.
• Drive the selection of appropriate AI/ML frameworks, tools, and cloud infrastructure.
• Collaborate closely with our Computational Neuroscientist to ensure scientific rigor and clinical relevance of our AI models.
• Contribute to our intellectual property and scientific publications.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior