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Neuroscience Ai Jobs (NOW HIRING)

Merge Labs

MLOps Research Engineer

San Francisco, CA · On-site

$200K - $235K/yr

About the team Merge is building the next generation of brain-computer interfaces by combining recent advances in synthetic biology, neuroscience, AI, and non-invasive imaging. To support this ...

Slope

Data Scientist, Bioengineering

San Francisco, CA · On-site

$150 - $210/hr

About the team Merge is building the next generation of brain-computer interfaces by combining recent advances in synthetic biology, neuroscience, AI, and non-invasive imaging. To support this ...

Merge

$140 - $230/hr

About the team Merge is building the next generation of brain-computer interfaces by combining recent advances in synthetic biology, neuroscience, AI, and non-invasive imaging. To support this ...

Varsity Tutors

Neuroscience Tutor

TN · 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 ...

Varsity Tutors

Neuroscience Tutor

Washington, DC · 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 ...

Varsity Tutors

Neuroscience Tutor

Conway, AR · 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 ...

Varsity Tutors

Neuroscience Tutor

Fort Pierce, FL · 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 ...

Varsity Tutors

Neuroscience Tutor

Ann Arbor, MI · 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 ...

Varsity Tutors

Neuroscience Tutor

Rexburg, ID · 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 ...

Varsity Tutors

Neuroscience Tutor

Wichita, KS · 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 ...

Varsity Tutors

Neuroscience Tutor

IN · 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 ...

Varsity Tutors

Neuroscience Tutor

Champaign, IL · 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 ...

Varsity Tutors

Neuroscience Tutor

Richmond, VA · 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 Sep 4, 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.

What is a Neuroscience AI?

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.

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.

How to become a neuroscience AI?

To become a neuroscience AI specialist, you typically need a strong background in neuroscience, computer science, or machine learning, often requiring a bachelor's or master's degree in these fields. Gaining skills in programming languages like Python, understanding neural networks, and working with AI frameworks such as TensorFlow or PyTorch are essential. Practical experience through research projects, internships, or relevant certifications can also enhance your qualifications for roles in this interdisciplinary field.
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Neuroscience Ai jobs near you
Infographic showing various Neuroscience Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $129,183 per year, or $62.1 per hour.

Staff AI Researcher

The Biological Computing Co

San Francisco, CA • On-site

$300K - $345K/yr

Full-time

Posted 23 days ago

Key responsibilities

  • Set the technical direction for TBC's generative video modeling platform, including core modeling, training, evaluation, and deployment decisions

  • Design video generation models that support expressive latent representations, stable rollouts, and control-oriented prediction

  • Improve long-horizon rollout fidelity under autoregressive use, not just one-step accuracy

Job description

About TBC
The Biological Computing Co. (TBC) is an applied biological computing company that uses real neurons to improve AI models.
We study how biological neural networks process information, extract useful computational principles and translate those insights into software that makes modern AI models better, faster and more efficient. Our Algorithm Discovery Platform brings together biology, computational neuroscience, AI research and software engineering to develop new algorithms, architectures and neurally-optimized software for generative video and next-generation AI infrastructure.
Today, we are commercializing neurally optimized models that run on conventional GPU and cloud infrastructure. Longer term, we are building toward real-time biological compute, where real neurons operate alongside silicon as part of the compute stack.
Our interdisciplinary team includes researchers and engineers with experience at Apple, Johns Hopkins, Meta, MIT, Stanford and other leading institutions.
About the Role
We are building next-generation video generation models that enable robots to learn, plan, and act through imagined futures.
As a Staff AI Researcher you will help set the technical direction for one of TBC's core research and product areas. You will make high-leverage architectural decisions, anticipate modeling and scaling risks, and partner closely with the founders and product team to translate research into deployable systems. This is a hands-on technical leadership role for someone who can solve foundational research problems while raising the output of the broader team.
You will work closely with TBC's founders, AI researchers, computational neuroscientists, biologists, engineers and product leaders. You will also help translate computational principles discovered through experiments on living neural networks into new video-model architectures, learning approaches and software systems.
What You'll Work On
  • Set the technical direction for TBC's generative video modeling platform, including core modeling, training, evaluation, and deployment decisions
  • Design video generation models that support expressive latent representations, stable rollouts, and control-oriented prediction
  • Improve long-horizon rollout fidelity under autoregressive use, not just one-step accuracy
  • Integrate video priors, physical structure, or object-centric representations into control systems
  • Anticipate architectural and scaling bottlenecks before they constrain research or deployment
  • Establish technical standards, guide key research decisions, and multiply team output through mentorship and collaboration
What We're Looking For
  • Strong background in machine learning, computer vision, robotics, or a related field
  • Deep experience with one or more of the following:
    • Generative models, including diffusion, autoregressive video, or sequence models
    • Model-based reinforcement learning or planning
    • System identification, physics-informed learning, or simulation
  • Strong technical judgment and a track record of making consequential architectural or research decisions
  • Ability to reason clearly about failure modes in long-horizon prediction and control
  • Experience taking ambiguous research problems from first principles through implementation and evaluation
  • Comfortable working across the stack, including modeling, training systems, evaluation, and deployment
  • Ability to partner closely with founders, product leaders, and researchers to define priorities and convert research into product capability
  • Evidence of improving the effectiveness and technical output of the people around you
  • Deep expertise in computer vision and generative modeling
  • Hands-on experience with diffusion models, autoregressive video models, or related generative architectures
  • Experience designing and scaling novel research systems rather than only applying established approaches
What Success Looks Like
  • TBC has a clear and scalable technical direction for its video generation-modeling platform
  • Video generation models remain coherent and useful under their own long-horizon rollouts
  • Policies learn faster or generalize better by training inside learned simulators
  • Key architectural and scaling risks are identified and addressed early
  • Research decisions translate into measurable product and platform progress
  • The broader team moves faster and makes stronger technical decisions because of your leadership
  • The team develops a clear understanding of when generative video models help-and when they do not
Preferred Qualifications
  • PhD or MS in Computer Science, Robotics, Machine Learning, or a related field
  • Research or industry experience in video generation models, embodied AI, generative video, robot learning, or learned simulation
  • Experience training policies inside learned simulators or over imagined trajectories
  • Experience with action-conditioned video prediction or controllable generative models
  • Experience connecting learned models to real robotic systems
  • Familiarity with latent-action models, cross-embodiment learning, or learning from human video
  • Experience with object-centric representations, physical priors, or structured dynamics models
  • Experience with digital twins, sim-to-real transfer, online adaptation, or closed-loop data collection
  • Experience scaling research systems across large datasets or distributed training environments
  • Publications at leading machine-learning, computer-vision, or robotics venues

Apply