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Artificial Intelligence Neuroscience Jobs (NOW HIRING)

Neuroscience Tutor

Harrisburg, PA ยท Remote

$18 - $40/hr

Emphasizes structure-function relationships and connects neuroscience to clinical neurology, cognitive psychology, artificial intelligence, and neuroengineering. * Curriculum Awareness & Adaptive ...

Neuroscience Tutor

NM ยท Remote

$18 - $40/hr

Emphasizes structure-function relationships and connects neuroscience to clinical neurology, cognitive psychology, artificial intelligence, and neuroengineering. * Curriculum Awareness & Adaptive ...

Neuroscience Tutor

Allen, TX ยท Remote

$18 - $40/hr

Emphasizes structure-function relationships and connects neuroscience to clinical neurology, cognitive psychology, artificial intelligence, and neuroengineering. * Curriculum Awareness & Adaptive ...

Neuroscience Tutor

Kansas City, MO ยท Remote

$18 - $40/hr

Emphasizes structure-function relationships and connects neuroscience to clinical neurology, cognitive psychology, artificial intelligence, and neuroengineering. * Curriculum Awareness & Adaptive ...

Neuroscience Tutor

Paterson, NJ ยท Remote

$18 - $40/hr

Emphasizes structure-function relationships and connects neuroscience to clinical neurology, cognitive psychology, artificial intelligence, and neuroengineering. * Curriculum Awareness & Adaptive ...

Neuroscience Tutor

Durham, NC ยท Remote

$18 - $40/hr

Emphasizes structure-function relationships and connects neuroscience to clinical neurology, cognitive psychology, artificial intelligence, and neuroengineering. * Curriculum Awareness & Adaptive ...

Neuroscience Tutor

Stamford, CT ยท Remote

$18 - $40/hr

Emphasizes structure-function relationships and connects neuroscience to clinical neurology, cognitive psychology, artificial intelligence, and neuroengineering. * Curriculum Awareness & Adaptive ...

Neuroscience Tutor

Chester, PA ยท Remote

$18 - $40/hr

Emphasizes structure-function relationships and connects neuroscience to clinical neurology, cognitive psychology, artificial intelligence, and neuroengineering. * Curriculum Awareness & Adaptive ...

Neuroscience Tutor

Logan, UT ยท Remote

$18 - $40/hr

Emphasizes structure-function relationships and connects neuroscience to clinical neurology, cognitive psychology, artificial intelligence, and neuroengineering. * Curriculum Awareness & Adaptive ...

Neuroscience Tutor

NC ยท Remote

$18 - $40/hr

Emphasizes structure-function relationships and connects neuroscience to clinical neurology, cognitive psychology, artificial intelligence, and neuroengineering. * Curriculum Awareness & Adaptive ...

Neuroscience Tutor

Eugene, OR ยท Remote

$18 - $40/hr

Emphasizes structure-function relationships and connects neuroscience to clinical neurology, cognitive psychology, artificial intelligence, and neuroengineering. * Curriculum Awareness & Adaptive ...

Neuroscience Tutor

Schaumburg, IL ยท Remote

$18 - $40/hr

Emphasizes structure-function relationships and connects neuroscience to clinical neurology, cognitive psychology, artificial intelligence, and neuroengineering. * Curriculum Awareness & Adaptive ...

Neuroscience Tutor

Brownsville, TX ยท Remote

$18 - $40/hr

Emphasizes structure-function relationships and connects neuroscience to clinical neurology, cognitive psychology, artificial intelligence, and neuroengineering. * Curriculum Awareness & Adaptive ...

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Artificial Intelligence Neuroscience information

What are some typical daily responsibilities of someone working in Artificial Intelligence Neuroscience?

Professionals in Artificial Intelligence Neuroscience typically spend their days designing experiments, analyzing large and complex brain data sets, developing and testing machine learning algorithms, and interpreting results to advance research objectives. Collaboration is common, involving work with neuroscientists, software engineers, and data analysts to integrate AI tools with biological studies. You may also be involved in publishing research findings, attending scientific meetings, and staying current with developments in both AI and neuroscience fields. This blend of technical and collaborative tasks makes the field dynamic and intellectually stimulating.

What are the key skills and qualifications needed to thrive in the Artificial Intelligence Neuroscience position, and why are they important?

To thrive in Artificial Intelligence Neuroscience, you need a deep understanding of neuroscience, data science, and machine learning, typically supported by an advanced degree (PhD or Master's) in a related field. Experience with programming languages such as Python or MATLAB, familiarity with neural data analysis tools, and knowledge of AI frameworks like TensorFlow or PyTorch are usually required. Strong problem-solving skills, interdisciplinary collaboration, and effective communication are crucial for success in this role. These qualifications enable you to bridge the gap between computational methods and complex brain research, driving innovative solutions in both AI and neuroscience.

What is an Artificial Intelligence Neuroscience job?

An Artificial Intelligence Neuroscience job involves studying and developing AI systems inspired by the human brain. Professionals in this field work at the intersection of neuroscience, machine learning, and cognitive science to enhance AI capabilities. They analyze brain functions to improve neural networks, brain-computer interfaces, and neuro-inspired computing. These roles are common in research institutions, tech companies, and healthcare, where they contribute to advancements in AI-driven diagnostics, robotics, and autonomous systems.

More about Artificial Intelligence Neuroscience jobs
What cities are hiring for Artificial Intelligence Neuroscience jobs? Cities with the most Artificial Intelligence Neuroscience job openings:
What are the most commonly searched types of Artificial Intelligence Neuroscience jobs? The most popular types of Artificial Intelligence Neuroscience jobs are:
What states have the most Artificial Intelligence Neuroscience jobs? States with the most job openings for Artificial Intelligence Neuroscience jobs include:
Infographic showing various Artificial Intelligence Neuroscience job openings in the United States as of July 2026, with employment types broken down into 80% Full Time, 16% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Research Scientist, Artificial Intelligence (PhD)

Synaptrix Labs

New York, NY โ€ข On-site

$85K - $150K/yr

Full-time

PTO

Re-posted 16 days ago


Job description

About Synaptrix Labs Inc.
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.
We're seeking a full time Research Scientist, Artificial Intelligence (PhD) to join our growing team of researchers & engineers. If you're passionate about shaping the future of brain-computer interfaces and excited by the potential of deep learning in neurotechnology, we want to hear from you!
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.

Minimum Qualifications:
  • 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 Qualifications:
  • 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.

About our Culture:
At Synaptrix Labs, we celebrate curiosity, open collaboration, and scientific rigor. Our interdisciplinary team spans neuroscience, AI, and clinical research, and we are united by the belief that non-invasive BCI is the key to unlocking a new era in healthcare, accessibility, and human augmentation.
Expected Compensation:
The base salary for this role is anticipated to fall within the following range. Actual compensation will depend on your experience, technical expertise, and relevant education or training. In addition to base pay, Synaptrix offers equity to all full-time employees, reflecting our commitment to shared success and long-term company growth.
Base Salary Range:
$85,000 - $150,000 USD
What We Offer:
  • 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