Research Scientist, Artificial Intelligence at Synaptrix Labs Inc. - ScoutJobs - The AI-curated global job board
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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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Research Scientist, Artificial Intelligence

Synaptrix Labs Inc. · New York City

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