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AI/Machine Learning Engineer, Neuro-AI

Boston, MA💼 Full-time🗓 2026-09-20 → 2026-09-26

Core

Architect and implement core AI pipelines to process multimodal neuroscience data and develop intelligent systems for optimizing cognitive function and treating neurological diseases.

Role type

Senior IC machine learning engineer (neuroscience)

Builds

Adaptive neuromodulation systems for cognitive enhancement and disease treatment

Domain

Neurotechnology / Medical AI

Deliverable

production ML models

Required skills

Deep Learning architectures, time-series data processing, Python, PyTorch, TensorFlow, multimodal data fusion, MLOps, cloud computing (AWS/GCP/Azure)

Preferred skills

Reinforcement Learning, neuroscientific data analysis, Explainable AI, Edge-AI, foundation models, signal processing

Responsibilities

Design and deploy scalable ML pipelines for diverse neuroscience data; lead research and training of advanced AI models for brain state prediction and pathological pattern identification; generate personalized neuromodulation parameters; select AI/ML frameworks and cloud infrastructure; collaborate with computational neuroscientists; contribute to intellectual property and publications.

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