Research Scientist, Artificial Intelligence (PhD)

Synaptrix is on a mission to revolutionize brain-computer interfaces through non-invasive approaches. They are seeking a full-time Research Scientist, Artificial Intelligence (PhD) to join their team, focusing on designing and optimizing AI systems for neural decoding and conducting foundational research in neurotechnology.

Responsibilities:

• Design, prototype, and optimize state-of-the-art AI systems for neural decoding, including diffusion models, graph neural networks, contrastive/self-supervised frameworks, and transformer-based sequence models
• Conduct foundational research on neural time-series representation learning: build architectures that extract latent dynamics from EEG, EMG, or related biosignals
• Develop high-fidelity simulation environments for testing decoding algorithms, incorporating stochastic signal noise and realistic biophysical constraints
• Scale model training across multi-GPU and multi-node clusters using PyTorch Distributed, DeepSpeed, or JAX/Flax; profile and tune system performance for sub-10 ms inference latency
• Build and maintain end-to-end research pipelines for large-scale signal datasets, including preprocessing, artifact rejection, and multimodal fusion with video, audio, and IMU data
• Collaborate with neuroscientists and hardware engineers to integrate learned models into real-time BCI control loops and embedded systems
• Contribute to core ML infrastructure: experiment tracking, model versioning, dataset lineage, and reproducibility standards
• Publish at top-tier ML or neurotech venues (NeurIPS, ICLR, Nature Neuro, EMBC) and present findings to the research community