Synaptrix Labs ยท 2 months ago
Research Scientist, Artificial Intelligence (PhD)
New York, NY
Full-time
Onsite
Mid, Senior Level
$85K/yr - $150K/yrSynaptrix Labs Inc. is on a mission to revolutionize brain-computer interfaces through non-invasive approaches. They are seeking a full-time Research Scientist in Artificial Intelligence to design and optimize AI systems for neural decoding and conduct foundational research on neural time-series representation learning.
Artificial Intelligence (AI)BiotechnologyNeuroscience
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
Qualification
Required
PhD or equivalent deep technical expertise in Machine Learning, Artificial Intelligence, Computer Science, Computational Neuroscience, or related fields
Strong command of PyTorch or JAX, with experience implementing custom training loops, loss functions, and model architectures
Proven ability to conduct end-to-end research, from conceptual design to reproducible experiments and evaluation
Strong mathematical foundations in linear algebra, probability, optimization, and information theory
Experience working with high-dimensional time-series or sensory data (EEG, speech, video, motion capture, etc.)
Skilled in Python, NumPy, Pandas, and scientific computing workflows; experience with CUDA or low-level GPU debugging is highly valued
Demonstrated ability to operate independently on open-ended problems and drive original research with limited supervision
Preferred
Deep familiarity with neural signal modeling, neural decoding, or biosignal preprocessing (EEG/MEG/ECoG/EMG)
Experience designing self-supervised or generative models (diffusion, VAEs, contrastive, masked modeling) for noisy, non-stationary data
Background in reinforcement learning, optimal control, or human-in-the-loop systems, especially in continuous domains
Publications or preprints in top venues (NeurIPS, ICML, ICLR, CVPR, EMBC, Nature Neuro)
Familiarity with distributed training, mixed-precision, multi-GPU orchestration, and cloud ML infrastructure (AWS/GCP/Azure)
Contributions to open-source ML frameworks or custom CUDA kernels
Understanding of neural signal acquisition hardware, embedded inference, or edge ML deployment
Track record of curiosity-driven, independent research resulting in practical systems or open-source codebases
Benefits
An opportunity to change the world and work with some of the smartest and most talented experts from different fields
Growth potential; we rapidly advance team members who have an outsized impact
Paid holidays, unlimited PTO
Company
Synaptrix Labs
Synaptrix Labs develops AI-driven brain-computer interface solutions for individuals with paralysis.
Founded in 2023
2-10 employees
Funding
Current Stage
Early StageTotal Funding
unknownKey Investors
Underdog Labs
2024-07-11Pre Seed
2023-05-07Grant
Leadership Team
Aryan Govil
Co-Founder & CEO
Ojas Karnavat
Co-Founder
Company data provided by crunchbase