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Remote Neural Engineer Jobs (NOW HIRING)

Harnham

Senior Machine Learning Engineer

Manhattan, NY · On-site +1

$220K/yr

Remote (with optional hybrid New York) Salary: Salary up to $220,000 THE COMPANY Our client is a ... You will architect and train neural network models for optimization and audience modeling using ...

Rackner

AI/ML Engineer (Active TS/SCI )

Dayton, OH · On-site +1

Dayton, OH and Remote Employment Type: Full-Time Clearance requirements: TS/SCI About the Role ... Convolutional Neural Networks (CNNs) * Recurrent Neural Networks (RNNs) * Transformer-based ...

Rackner

AI/ML Engineer (Active TS/SCI )

Dayton, OH · On-site +1

Dayton, OH and Remote Employment Type: Full-Time Clearance requirements: TS/SCI About the Role ... Convolutional Neural Networks (CNNs) * Recurrent Neural Networks (RNNs) * Transformer-based ...

Avride

Machine Learning Engineer

Austin, TX · On-site +1

At least three years of experience developing neural network-based algorithms, including data ... The employer is not offering relocation sponsorship, and remote work options are not available.

Harnham

Senior ML Engineer Adtech

Manhattan, NY · Remote

$180K - $200K/yr

Senior ML Engineer Full Remote $180K-$200K base A fast-growing AI product company operating in real ... Build and optimize neural network models for large-scale prediction, classification, and ...

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 ...

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Remote Neural Engineer information

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$59.5K

$111.6K

$203K

How much do remote neural engineer jobs pay per year?

As of Jun 1, 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 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.

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 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 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.

More about Remote Neural Engineer jobs
What cities are hiring for Remote Neural Engineer jobs? Cities with the most Remote Neural Engineer job openings:
What are the most commonly searched types of Neural Engineer jobs? The most popular types of Neural Engineer jobs are:
What states have the most Remote Neural Engineer jobs? States with the most job openings for Remote Neural Engineer jobs include:
What job categories do people searching Remote Neural Engineer jobs look for? The top searched job categories for Remote Neural Engineer jobs are:
Remote Neural Engineer jobs near you
Infographic showing various Remote Neural Engineer job openings in the United States as of May 2026, with employment types broken down into 78% Part Time, and 22% Contract. Highlights an 86% Physical, and 14% Remote job distribution, with an average salary of $111,632 per year, or $53.7 per hour.

Neural Network Specialist

Special Projects Engineering LLC

Bellevue, WA • On-site, Remote

$150K - $170K/yr

Full-time

Posted 12 hours 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.