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Neuroscience Ai Jobs (NOW HIRING)

Internship Program

New York, NY

$18.25 - $23.75/hr

If you're excited about building the future of brain-computer interfaces and want to work at the intersection of neuroscience, AI, and human experience, we want to hear from you. Responsibilities:

Internship Program

New York, NY

$18.25 - $23.75/hr

If you're excited about building the future of brain-computer interfaces and want to work at the intersection of neuroscience, AI, and human experience, we want to hear from you. Responsibilities:

Internship Program

New York, NY · On-site

$18.25 - $23.75/hr

If you're excited about building the future of brain-computer interfaces and want to work at the intersection of neuroscience, AI, and human experience, we want to hear from you. Responsibilities:

Staff Software Engineer

Emeryville, CA · On-site

$200K - $500K/yr

We are integrating neuroscience, AI, and bioengineering to understand and digitally model the architecture of the human brain. Position Summary We are looking for an ambitious Staff Software Engineer ...

Principal Software Engineer

Emeryville, CA · On-site

$300K - $600K/yr

We are integrating neuroscience, AI, and bioengineering to understand and digitally model the architecture of the human brain. Position Summary We are looking for an ambitious Staff Software Engineer ...

Site Reliability Engineer

Emeryville, CA · On-site

$100K - $300K/yr

We are integrating neuroscience, AI, and bioengineering to understand and digitally model the architecture of the human brain. Position Summary We are looking for a Site Reliability Engineer to own ...

Neuroscience Tutor

NM · Remote

$18 - $40/hr

... Neuroscience tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Neuroscience Tutor

NC · Remote

$18 - $40/hr

... Neuroscience tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Neuroscience Tutor

Paterson, NJ · Remote

$18 - $40/hr

... Neuroscience tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

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Neuroscience Ai information

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How much do neuroscience ai jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for neuroscience ai in the United States is $62.11, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $71.15 per hour, depending on experience, location, and employer.

Can AI replace neuroscientists?

Neuroscience AI refers to the use of artificial intelligence to analyze brain data and support research. While AI can automate data processing and assist in modeling neural systems, it cannot fully replace neuroscientists, who provide critical interpretation, experimental design, and ethical oversight. Neuroscientists are essential for guiding AI applications and integrating findings into broader scientific understanding.

What is the role of AI in neuroscience?

In neuroscience AI professionals develop algorithms and models to analyze brain data, simulate neural processes, and assist in diagnosing neurological conditions. They often work with machine learning tools, neuroimaging techniques, and computational modeling to advance understanding of brain function and disorders.

Do neuroscientists work in AI?

Neuroscientists often work in AI by applying their understanding of the brain and neural systems to develop algorithms, machine learning models, and neural networks. Their expertise helps improve AI systems' ability to process information, learn, and adapt, making collaboration between neuroscience and AI a common interdisciplinary practice.

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

To thrive in a Neuroscience AI role, you need a strong background in computational neuroscience, machine learning, and data analysis, often supported by a degree in neuroscience, computer science, or a related field. Familiarity with programming languages like Python or MATLAB, experience with neural network frameworks, and knowledge of neuroimaging tools such as EEG or fMRI analysis software are typically required. Strong analytical thinking, interdisciplinary communication, and problem-solving skills are valuable soft skills for this position. These abilities are crucial for advancing AI applications in neuroscience research and for effectively collaborating across scientific and technical teams.

What is a Neuroscience AI job?

A Neuroscience AI job involves applying artificial intelligence and machine learning techniques to neuroscience research and applications. Professionals in this field work on brain-computer interfaces, neural data analysis, cognitive computing, and AI-driven diagnostics for neurological disorders. They may collaborate with neuroscientists, data scientists, and engineers to develop models that simulate brain function, analyze neural signals, or enhance medical imaging. These roles exist in healthcare, academia, and tech industries, requiring expertise in AI, neuroscience, and programming.

What kind of projects or research does a Neuroscience AI professional typically work on?

As a Neuroscience AI professional, you might work on projects ranging from developing machine learning models to interpret complex brain data, to designing AI algorithms for diagnosing neurological disorders or simulating neural circuits. Daily tasks often involve collaborating with neuroscientists, data scientists, and clinicians to analyze large-scale neural datasets, fine-tune predictive models, and publish research findings. Many roles provide opportunities to engage in both academic research and industry applications, offering a dynamic environment with room for continued learning and career advancement. The collaborative nature of the job also means you’ll regularly contribute your expertise in interdisciplinary teams, driving innovation in brain science and technology.

How to become an AI neuroscientist?

To become an AI neuroscientist, typically a strong background in neuroscience, computer science, or related fields is required, often through a bachelor's degree followed by a master's or Ph.D. in neuroscience, artificial intelligence, or machine learning. Developing skills in programming languages like Python, understanding neural data analysis, and gaining experience with AI tools and frameworks are essential. Engaging in research, internships, or collaborative projects can also enhance expertise in applying AI to neuroscience problems.
More about Neuroscience Ai jobs
What cities are hiring for Neuroscience Ai jobs? Cities with the most Neuroscience Ai job openings:
What are the most commonly searched types of Neuroscience Ai jobs? The most popular types of Neuroscience Ai jobs are:
What states have the most Neuroscience Ai jobs? States with the most job openings for Neuroscience Ai jobs include:
Infographic showing various Neuroscience Ai job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 33% Hybrid, and 67% Remote job distribution, with an average salary of $129,183 per year, or $62.1 per hour.

Internship Program

Synaptrix Labs

New York, NY

$18.25 - $23.75/hr

Full-time, Internship

Posted 26 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 passionate, creative, and technically driven interns to join our team across multiple disciplines: Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX Design. If you're excited about building the future of brain-computer interfaces and want to work at the intersection of neuroscience, AI, and human experience, we want to hear from you.

Responsibilities:

Depending on your background and interests, you may:

  • Contribute to development of real-time software systems for neural signal processing and data visualization.
  • Build and prototype non-invasive EEG-based BCI hardware, from electrode arrays to embedded microcontroller systems.
  • Design, train, and evaluate machine learning models for EEG/EMG decoding, denoising, and signal enhancement.
  • Develop intuitive interfaces and user experiences for individuals with mobility or communication impairments.
  • Collaborate with the design team to prototype wearable and ergonomic form factors for next-generation neurotech devices.
  • Support data collection and analysis in research sessions, assisting with experimental setup and instrumentation.
  • Participate in cross-functional design reviews and brainstorming sessions that bring together neuroscience, AI, and engineering.
  • Contribute to internal documentation, test plans, and experimental logs for ongoing R&D projects.

Minimum Qualifications:

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering, Biomedical Engineering, Neuroscience, Mechanical/Industrial Design, or a related field.
  • Demonstrated experience with one or more of the following:
    • Software: Python, C++, or JavaScript
    • Machine Learning: PyTorch, TensorFlow, or JAX
    • Hardware: Arduino, PCB design, or embedded systems
    • Design: Figma, Fusion 360, SolidWorks, or similar tools
  • Strong problem-solving ability and curiosity about neuroscience, AI, or human-machine interfaces.
  • Excellent communication and teamwork skills; thrives in a fast-paced, interdisciplinary environment.
  • Availability for an internship in New York City.

Preferred Qualifications:

  • Prior experience with EEG/EMG systems, biosignal acquisition, or data analysis.
  • Familiarity with deep learning for time-series or multimodal data.
  • Experience designing assistive devices, wearables, or medical technology.
  • Portfolio, GitHub, or research projects demonstrating creative technical work.
  • Interest in startups, prototyping, and early-stage innovation.

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.
As an intern, you'll work directly alongside engineers, researchers, and designers who are defining the next generation of brain-computer interfaces. You'll be encouraged to explore bold ideas, experiment freely, and take ownership of meaningful projects from day one.

What We Offer:

  • Hands-on experience in one of the world's most exciting emerging fields: brain-computer interfaces
  • Opportunity to contribute to technology that directly improves lives
  • Mentorship from scientists, engineers, and founders building real neurotechnology products
  • Dynamic NYC workspace blending lab, workshop, and creative studio environments
  • Potential for full-time conversion after graduation