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Remote Neural Network Engineer Jobs in Raleigh, NC

Varsity Tutors

Machine Learning Tutor

Raleigh, NC · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

Eliassen Group

Senior AI/ML Engineer

Raleigh, NC · Remote

$90 - $100/hr

Remote Reference ID: JN -052026-107129 Date Posted: 05/26/2026 Shortcut: * Description ... Design and develop predictive models using regression, classification, clustering, and neural ...

NC SECU

Senior Security Engineer - Network Defense

Raleigh, NC · Remote

$111K - $152K/yr

... Engineer uses their industry experience and technical knowledge across a broad portfolio of Network ... VPN/ Remote Access * NGFW * WAF * DDoS Protection * Web Proxy/ Content Filtering * Cloud Security ...

Security Journey

Senior Platform Engineer

Apex, NC · On-site +1

$80K - $109K/yr

Senior Platform Engineer (AWS / Kubernetes) Remote (United States) Security Journey is hiring a ... Strong troubleshooting skills across networking, containers, distributed systems, and production ...

Plume

Senior Wireless Firmware Engineer

Raleigh, NC · Remote

$116K - $153K/yr

This is a high-impact senior role where you will lead complex initiatives in wireless networking ... Published ranges are provided in good faith at the time of posting. #LI-Remote, #RemoteJobs, #Wo ...

LexisNexis

Principle AWS Cloud Engineer

Raleigh, NC · On-site +1

$54.25 - $72.50/hr

We are open to hiring on a remote basis in the United States, with the understanding that the ... Solid understanding of AWS networking concepts, including VPC design, subnets, routing, security ...

Redhat

Software Engineer, Telco

Raleigh, NC · On-site +1

$96K - $154K/yr

Linux networking or SDN related development contribution Please Note: Red Hat will not be providing ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Red Hat

Software Engineer, Telco

Raleigh, NC · On-site +1

$96K - $154K/yr

Linux networking or SDN related development contribution Please Note: Red Hat will not be providing ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Grantek

Systems Engineer

Raleigh, NC · On-site +1

PLC and PAC Programming, Operator Interface and HMI application design, SCADA design, Network ... Experience in DeviceNet, ControlNet, DH+, Remote IO, Modbus, etc is preferred but not necessary.

Redhat

Sr Principal Software Engineer (Azure)

Raleigh, NC · On-site +1

$193K - $318K/yr

Expert understanding of Hybrid Cloud networking and security (VNETs, Private Link, Encryption ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

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All JobsNeural Network Engineer JobsRemote Neural Network Engineer JobsRemote Neural Network Engineer Jobs in Raleigh, NC

Remote Neural Network Engineer information

See Raleigh, NC salary details

$30.1K

$106K

$153.6K

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

As of Jun 18, 2026, the average yearly pay for remote neural network engineer in Raleigh, NC is $105,995.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $129,800.00 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.
What are popular job titles related to Remote Neural Network Engineer jobs in Raleigh, NC? For Remote Neural Network Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Neural Network Engineer jobs in Raleigh, NC look for? The top searched job categories for Remote Neural Network Engineer jobs in Raleigh, NC are:
Remote Neural Network Engineer jobs near you
Machine Learning Tutor

Machine Learning Tutor

Varsity Tutors

Raleigh, NC • Remote

$40/hr

Part-time

Posted 13 days ago

Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

13th of 21 rated private schools and tutoring

Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Machine Learning Tutor
  • Advanced Subject Mastery: Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep learning fundamentals. Ability to explain linear regression, decision trees, random forests, support vector machines, and neural network architectures while preparing students for data science roles and advanced AI coursework.
  • Conceptual Teaching & Problem-Solving: Skilled at breaking down model training pipelines, hyperparameter tuning, and evaluation metric interpretation. Guides students through data preprocessing, feature selection, building and comparing classification and regression models, implementing clustering algorithms, and interpreting confusion matrices and ROC curves. Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics.
  • Curriculum Awareness & Adaptive Instruction: Familiar with machine learning curricula and common challenges such as understanding bias-variance tradeoff, selecting appropriate algorithms for problem types, and interpreting model performance beyond accuracy. Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to support students from introductory statistics-based ML through advanced deep learning and deployment.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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