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Remote Neural Network Engineer Jobs (NOW HIRING)

Mythic

AI Algorithms/Software Engineer

Palo Alto, CA · Remote

$99K - $136K/yr

The AI Engineering team * Builds software pipelines that adapt neural networks (such as Hugging ... Design algorithms and tools for Mythic's neural network conversion pipeline. * Build high-fidelity ...

Zunch Staffing

Remote Network Engineer

$80K - $100K/yr

Remote Network Engineer Location: USA-based (100% Remote) Salary: Competitive Salary of $80,000 to $100,000 based on experience Immediate Hire: Yes Number of Positions Available: 12 A New Challenge ...

Zunch Staffing

Remote Network Engineer

$80K - $100K/yr

Remote Network Engineer Location: USA-based (100% Remote) Salary: Competitive Salary of $80,000 to $100,000 based on experience Immediate Hire: Yes Number of Positions Available: 12 A New Challenge ...

Novalink Solutions LLC

Network Engineer

Madison, WI · Remote

$78 - $85/mo

A Network Engineer III - senior-level technical professional responsible for designing ... Remote access 4. Network design Nice to Have Skills: 1. Network monitoring and reporting 2. ...

Navtech, Inc.

Network Engineer

Arkansas - Remote Job Summary: Network Engineer assists with the support and maintenance of new and ongoing projects that involve the IT Data Center Infrastructure. Incumbent researches new network ...

MM International

Network Engineer

Orlando, FL · Remote

Remote (Must be in driving distance to Orlando for Quarterly travel) Network Engineer - 12-month Contract * Reports to Director, IT Operations * Remote role - Preference for Florida candidates ...

xAI

Network Engineer

Memphis, TN · Remote

Our Network Engineering team handles a dynamic, constantly growing and evolving global network that ... Liaise with third parties, IT and remote office users to fix and resolve issues * Creation and ...

Pavago

Network Engineer

Remote (LATAM, Pakistan, South Africa, Eastern Europe Preferred) About the Role Our client is seeking a highly skilled Network Engineer to design, configure, secure, and maintain enterprise network ...

inTALENTgent

Network Engineer

Chantilly, VA · Remote

Programming, configuring, and troubleshooting networks \n ... Remote network and server administration \n * Implementing Virtual private network (VPN) \n

Ascent Global Logistics

Network Engineer

The Network Engineer supports branch, Azure cloud, and remote-user connectivity, including routing, switching, firewalls, wireless, DNS/DHCP/IP management, SD-WAN, VPN/ZTNA, and network observability ...

Ascent Global Logistics

Network Engineer

Belleville, MI · Remote

The Network Engineer supports branch, Azure cloud, and remote-user connectivity, including routing, switching, firewalls, wireless, DNS/DHCP/IP management, SD-WAN, VPN/ZTNA, and network observability ...

Mercor

Network Engineer

San Francisco, CA · Remote

$50 - $70/hr

Position: Network Engineer - Data for Autonomous Systems annotation Type: Contract Compensation ... Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from deployed ...

Vantage Point Solutions

Network Engineer

Mitchell, SD · Remote

This full-time position, available remote or in-office, supports internet service providers and ... As a Network Engineer, you will serve as a technical lead and trusted advisor on network design and ...

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All JobsRemote Neural Network Engineer Jobs

Remote Neural Network Engineer information

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$31K

$109K

$158K

How much do remote neural network engineer jobs pay per year?

As of Jun 23, 2026, the average yearly pay for remote neural network engineer in the United States is $109,040.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $133,500.00 per year, depending on experience, location, and employer.

What is a Remote Neural Network Engineer?

A Remote Neural Network Engineer is a specialized software engineer who designs, develops, and maintains neural network models while working from a remote location. They use deep learning frameworks such as TensorFlow or PyTorch to build algorithms that mimic the human brain for tasks like image recognition, natural language processing, and predictive analytics. These engineers collaborate with teams virtually and leverage cloud computing resources to train and deploy models. The role requires strong programming, mathematical, and analytical skills, as well as experience working in distributed team environments.

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

AspectRemote Neural Network EngineerData Scientist
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fields; experience with neural networks and deep learning frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and machine learning
Work EnvironmentRemote, tech companies, AI research labsRemote or on-site, diverse industries including finance, healthcare, tech
Industry UsagePrimarily in AI, machine learning, and deep learning projectsData analysis, predictive modeling, business insights

While both roles involve working with data and machine learning, a Remote Neural Network Engineer specializes in designing and implementing neural network models, often requiring deep learning expertise. A Data Scientist focuses on analyzing data to extract insights, using a broader set of tools including statistical methods and machine learning. The roles overlap in skills but differ in focus and application.

What engineers make $500,000?

Senior neural network engineers with extensive experience, advanced skills in deep learning frameworks, and a strong track record in AI research can earn salaries around $500,000, especially in high-cost-of-living areas or at leading tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise in machine learning, data science, and software engineering.

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

To thrive as a Remote Neural Network Engineer, you need a strong background in computer science, mathematics, and deep learning principles, often supported by a relevant degree and prior experience in AI or machine learning roles. Proficiency in programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms are essential, and certifications in machine learning can be advantageous. Excellent problem-solving skills, self-motivation, and effective remote communication are key soft skills for collaboration and independent work. These skills and qualities ensure the engineer can design, implement, and optimize neural network solutions efficiently while contributing effectively to distributed teams.

Is ML a high paying job?

Machine Learning (ML) roles, including Neural Network Engineers, are generally high-paying due to the specialized skills required, such as programming in Python, experience with frameworks like TensorFlow or PyTorch, and knowledge of data science. Salaries tend to be above average in the tech industry, especially for those with advanced expertise and relevant certifications.

How does a Remote Neural Network Engineer typically collaborate with cross-functional teams when working from a distance?

As a Remote Neural Network Engineer, collaboration with cross-functional teams—such as data scientists, software engineers, and product managers—is primarily facilitated through virtual communication platforms and project management tools. Regular video meetings, code reviews, and shared documentation are essential to ensure alignment on project goals and progress. Clear communication and proactive sharing of updates are crucial to overcoming the lack of in-person interaction. Additionally, remote engineers often use collaborative coding environments and version control systems to streamline joint development efforts and maintain code quality.

What engineers make $300,000 a year?

Senior neural network engineers, especially those with expertise in deep learning, AI research, and experience with frameworks like TensorFlow or PyTorch, can earn $300,000 or more annually. High salaries are often associated with roles in leading tech companies, specialized skills, advanced degrees, and significant industry experience.

Which 5 jobs will survive AI?

Remote Neural Network Engineers are likely to continue in demand as AI advances because they develop and optimize AI models, requiring specialized skills in machine learning, programming, and data analysis. Jobs that involve complex problem-solving, creativity, and human interaction, such as healthcare professionals, educators, software developers, data scientists, and cybersecurity specialists, are also expected to persist despite AI automation. These roles often require critical thinking and adaptability that AI cannot fully replicate.
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Remote Neural Network Engineer jobs near you

Neural Network Specialist

Special Projects Engineering LLC

Bellevue, WA • On-site, Remote

$150K - $170K/yr

Full-time

Posted 22 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.