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Posted 4 hours ago
Research Scientist, Artificial Intelligence
Synaptrix Labs Inc.Research Scientist, Artificial Intelligence (PhD)
Perks & benefits
Paid LeaveHealth Insurance
Requirements
PhD in ML, AI, CS, or Computational Neuroscience, Proficiency in PyTorch or JAX, Experience with high-dimensional time-series data, Strong mathematical foundations
Skills
PyTorchJaxPythonDeep Learning
About the role
About the Company
Synaptrix is on a mission to revolutionize brain-computer interfaces through non-invasive approaches. We believe that the power to diagnose and treat neurological conditions safely, and to expand human potential, will become a reality with the right fusion of deep learning, signal processing, and computational neuroscience.
Responsibilities
- Design, prototype, and optimize state-of-the-art AI systems for neural decoding, including diffusion models, graph neural networks, and transformer-based sequence models
- Conduct foundational research on neural time-series representation learning for EEG, EMG, or related biosignals
- Develop high-fidelity simulation environments for testing decoding algorithms
- Scale model training across multi-GPU and multi-node clusters using PyTorch Distributed, DeepSpeed, or JAX/Flax
- Build and maintain end-to-end research pipelines for large-scale signal datasets
- Collaborate with neuroscientists and hardware engineers to integrate models into real-time BCI control loops
- Publish at top-tier ML or neurotech venues such as NeurIPS, ICLR, or Nature Neuro
Requirements
- PhD or equivalent deep technical expertise in Machine Learning, AI, Computer Science, or Computational Neuroscience
- Strong command of PyTorch or JAX
- Proven ability to conduct end-to-end research from conceptual design to reproducible experiments
- Strong mathematical foundations in linear algebra, probability, and optimization
- Experience working with high-dimensional time-series or sensory data
- Proficiency in Python, NumPy, and Pandas
Preferred Qualifications
- Deep familiarity with neural signal modeling or biosignal preprocessing (EEG/MEG/ECoG/EMG)
- Experience designing self-supervised or generative models for noisy data
- Background in reinforcement learning or human-in-the-loop systems
- Familiarity with distributed training and cloud ML infrastructure (AWS/GCP/Azure)
- Understanding of neural signal acquisition hardware or edge ML deployment
Benefits
- Equity in the company
- Paid holidays
- Unlimited PTO
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Get started — it's freeResearch Scientist, Artificial Intelligence
Synaptrix Labs Inc. · New York City
