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Remote Neural Engineer Jobs (NOW HIRING)

Rackner

AI/ML Engineer (Active TS/SCI )

Dayton, OH · On-site +1

Convolutional Neural Networks (CNNs) * Recurrent Neural Networks (RNNs) * Transformer-based ... Weekly pay with full remote flexibility * Professional growth investment, including paid ...

Rackner

AI/ML Engineer (Active TS/SCI )

Dayton, OH · On-site +1

Convolutional Neural Networks (CNNs) * Recurrent Neural Networks (RNNs) * Transformer-based ... Weekly pay with full remote flexibility * Professional growth investment, including paid ...

Helm.ai

Senior Software Engineer

$150K - $250K/yr

Our unsupervised learning software can train neural networks without the need for human annotation ... Remote-friendly and flexible team culture * Free lunch and fully-stocked kitchen in our South Bay ...

H R PUNDITS INC

Senior Graphics Engineer

Santa Clara, CA · Remote

$130K/yr

Remote Rate: $130K per annum Job Responsibilities Develop and optimize features in a modern, low ... neural rendering, radiance fields, or Gaussian splatting Experience with advanced rendering ...

Neuralink

Software Engineer, CI/CD

Austin, TX · Remote

... neural recordings from implants. You will: * Design and scale the CI/CD platform that enables ... This includes remote caching, remote execution, target identification and selection, etc. * Operate ...

PICTOR LABS INC

$89K - $123K/yr

Remote US Company: Pictor Labs Employment Type: Full-time Responsibilities * Design, development ... Profile and optimize deep neural networks on NVIDIA GPUs using tools such as NVIDIA Nsight, PyTorch ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

... programming, Stochastic Gradient Descent, Genetic Algorithm etc.) * Experience with neural network ... Remote Support * Guaranteed Regular Salary Reviews * Job Type: W2 or Contract 1099 (full-time - 40 ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

... programming, Stochastic Gradient Descent, Genetic Algorithm etc.) * Experience with neural network ... Remote Support * Guaranteed Regular Salary Reviews * Job Type: W2 or Contract 1099 (full-time - 40 ...

NBCUniversal

Senior Deep Learning Engineer

$107K - $146K/yr

... remote machines via a Unix shell to deploy and test code on large-scale geospatial datasets ... neural networks or adjacent experience (e.g., gradient descent, nonlinear optimization, or ...

NBCUniversal

Staff Deep Learning Engineer

... remote machines via a Unix shell to deploy and test code on large-scale geospatial datasets ... neural networks or adjacent experience (e.g., gradient descent, nonlinear optimization, or ...

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How much do remote neural engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for remote neural engineer in the United States is $111,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What is a Remote Neural Engineer?

A Remote Neural Engineer is a professional who designs, develops, and maintains neural engineering systems—such as brain-computer interfaces or neural prosthetics—while working remotely. They often collaborate with multidisciplinary teams to create solutions that interface with the nervous system, using expertise in neuroscience, biomedical engineering, and software development. Remote Neural Engineers may work from home or distributed locations, utilizing digital tools to analyze neural data, develop algorithms, and contribute to research or product development in the neural technology field.

What are the key skills and qualifications needed to thrive as a Remote Neural Engineer, and why are they important?

To thrive as a Remote Neural Engineer, you need a solid background in neuroscience, biomedical engineering, or electrical engineering, often supported by a relevant degree or advanced certification. Proficiency with neural signal processing software, programming languages like Python or MATLAB, and brain-computer interface (BCI) systems is typically required. Strong problem-solving skills, attention to detail, and effective virtual communication are vital soft skills in this role. These skills and qualities are essential for developing, analyzing, and troubleshooting complex neural systems while collaborating with teams remotely.

What engineers make $300,000 a year?

Senior neural engineers or specialized AI and machine learning engineers in high-demand industries can earn $300,000 or more annually, especially with extensive experience, advanced skills in deep learning, and working in competitive tech environments. Such roles often require advanced degrees, certifications, and a strong portfolio of research or projects.

How do Remote Neural Engineers typically collaborate with cross-functional teams while working off-site?

Remote Neural Engineers frequently use digital collaboration tools such as video conferencing, shared code repositories, and project management platforms to stay connected with colleagues in neuroscience, software development, and data science. Regular virtual meetings and asynchronous communication help ensure alignment on project goals, data analysis, and protocol development. This structure allows for flexibility, but also requires proactive communication and strong organizational skills to manage complex, interdisciplinary tasks from a distance.

What engineers make $500,000?

Senior neural engineers or specialized AI and machine learning engineers in high-demand industries can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning, and working in competitive tech sectors. Compensation often includes base salary, bonuses, and stock options, particularly at leading tech companies or startups with significant funding.

What is the difference between Remote Neural Engineer vs Remote Data Scientist?

AspectRemote Neural EngineerRemote Data Scientist
Required CredentialsDegree in neuroscience, biomedical engineering, or related fields; knowledge of neural interfacesDegree in computer science, statistics, or related fields; proficiency in data analysis
Work EnvironmentResearch labs, tech companies, healthcare institutions with focus on neural dataTech firms, finance, healthcare, analyzing large datasets
Industry UsageNeuroscience, biomedical engineering, neurotechnologyTechnology, finance, healthcare, research
Common Search/ComparisonYesYes

Remote Neural Engineers focus on developing and implementing neural interfaces and understanding neural systems, often requiring knowledge of neuroscience and biomedical engineering. Remote Data Scientists analyze large datasets to extract insights, typically with skills in statistics and programming. While both roles involve technical expertise and data analysis, Neural Engineers are more specialized in neural technologies, whereas Data Scientists have a broader application across industries.

Is neuroengineering a good career?

Neuroengineering is a growing field that combines neuroscience, engineering, and computer science to develop technologies like brain-computer interfaces and neural prosthetics. It offers opportunities in research, healthcare, and industry, often requiring advanced degrees and technical skills. The career can be rewarding for those interested in innovative medical solutions and interdisciplinary work.

Can you work remotely as an AI engineer?

Remote work is common for AI engineers, including those specializing in neural engineering, as many companies offer remote positions that involve programming, data analysis, and model development. Successful remote AI engineers typically have strong communication skills, proficiency with tools like Python and TensorFlow, and a reliable internet connection. However, some roles may require on-site presence for hardware setup or collaboration, depending on the company's policies.
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Remote Neural Engineer jobs near you

Neural Network Specialist

Special Projects Engineering LLC

Bellevue, WA • On-site, Remote

$150K - $170K/yr

Full-time

Re-posted 16 days ago

Job description

About Special Projects Engineering LLC

At Special Projects Engineering, we rethink problems from the ground up. We’re a small, high-impact team based in Seattle focused on applying advanced AI to complex, often unconventional challenges. Our work spans autonomous systems, predictive infrastructure, synthetic biology, and defense-grade automation. If it’s ambitious, technical, and hasn’t been done before, we’re probably already working on it.

What You’ll Do

As a Neural Network Specialist, you’ll be responsible for designing and optimizing deep learning architectures that push the limits of what’s technically possible. You’ll collaborate closely with the CTO and a diverse team of engineers, scientists, and domain experts to move ideas from prototypes to deployment.

Key responsibilities:

  • Design, train, and evaluate neural network architectures for real-world use

  • Work with unstructured data including visual, auditory, textual, and time-series formats

  • Develop systems for tasks like perception, decision-making, prediction, and control

  • Optimize models for performance, scalability, and deployment on various platforms

  • Rapidly iterate on ideas while balancing reliability and experimental curiosity

  • Collaborate with hardware, embedded, and software teams to integrate models into real systems

  • Contribute to the ML roadmap, infrastructure, and toolchain

What We’re Looking For

  • 5+ years of experience in deep learning or applied neural network research

  • Strong Python skills, with additional experience in C++ or Rust preferred

  • Expertise in PyTorch, TensorFlow, or JAX

  • Solid understanding of training techniques, loss functions, evaluation metrics, and deployment strategies

  • Experience with one or more domains like computer vision, NLP, reinforcement learning, or multimodal models

  • Comfortable owning projects from research through production

  • Bonus if you’ve worked with robotics, embedded AI, or unusual sensor inputs

Why You Might Care

  • Competitive salary and meaningful equity

  • Remote-friendly with flexible hours

  • Full medical, dental, and vision coverage

  • Access to top-tier GPU hardware

  • Small team, zero bureaucracy, high ownership

  • Projects that are genuinely interesting and occasionally a little insane

If you're serious about pushing neural networks into places they've never gone before, apply now and let's get to work.