Machine Learning Scientist

About Tacit

Responsibilities

• Design and implement state-of-the-art machine learning algorithms for processing multimodal biosignals, including time series, spatial, and spectral data.
• Build and optimize neural network architectures.
• Develop and evaluate multimodal learning techniques to fuse information from multiple sensor modalities.
• Iterate rapidly on model prototypes for real-time inference on custom hardware.
• Create and maintain a robust evaluation framework for benchmarking model performance across datasets and participants.
• Collaborate closely with a diverse team, including hardware engineers, neuroscientists, and product, to align models with user needs.

Requirements

• PhD in computer science, machine learning, computational neuroscience, or related fields (or equivalent industry experience).
• Expertise in deep learning frameworks (e.g., PyTorch, TensorFlow) and fluency in Python.
• Track record of publishing or deploying machine learning models in real-world systems.