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Remote Neural Network Engineer Jobs (NOW HIRING)

Mythic

AI Algorithms/Software Engineer

$99.80K - $136.60K/yr

The AI Algorithms/Software Engineer will optimize software toolchains, design algorithms for neural network conversion, and contribute to hardware validation and debugging. Responsibilities : • ...

Mythic

AI Algorithms/Software Engineer

$99.80K - $136.60K/yr

The AI Algorithms/Software Engineer will optimize software toolchains, design algorithms for neural network conversion, and contribute to hardware validation and debugging. Responsibilities : • ...

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 ...

Mythic

AI Algorithms/Software Engineer

Palo Alto, CA · Remote

$99.80K - $136.60K/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 ...

Mythic

AI Algorithms/Software Engineer

Austin, TX · Remote

$99.80K - $136.60K/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 ...

United IT

Network Engineer

Ann Arbor, MI · Remote

... remote facilities. This role requires a strong background in network engineering and hands-on ... experience with the Fortinet suite of products. The ideal candidate will bring both technical ...

United IT Solutions

Network Engineer

Ann Arbor, MI · Remote

... remote facilities. This role requires a strong background in network engineering and hands-on ... experience with the Fortinet suite of products. The ideal candidate will bring both technical ...

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.

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 ...

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 ...

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Remote Neural Network Engineer information

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

As of Jun 2, 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 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.

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 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.

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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 yesterday

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.