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Remote Neural Network Engineer Jobs in Raleigh, NC

MrBeast

Media Systems Engineer

Raleigh, NC · On-site +1

Provide remote day-to-day operation and support of our data center: monitoring, alerting, incident ... Troubleshoot and optimize network performance for video editing, media transport, and file ...

Truist

NEXTHINK Infrastructure Engineer

Raleigh, NC · Remote

$104K - $137K/yr

Develop and maintain remote actions and automation flows to enable proactive remediation ... cloud, network, database, storage, platform, computing, or middleware domains. 2. Applies ...

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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 Sep 9, 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 are the key skills and qualifications needed to thrive as a remote neural network engineer?

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 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 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:

What cities near Raleigh, NC are hiring for Remote Neural Network Engineer jobs?

Cities near Raleigh, NC with the most Remote Neural Network Engineer job openings:

Remote Neural Network Engineer jobs near you

Systems Engineer III - Containers (Remote)

Raleigh, NC • Remote

First Citizens Bank
See more jobs at First Citizens Bankexternal

$54.25 - $72.50/hr

Full-time

Posted 24 days ago

First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

108th of 176 rated banks

Job description

Overview

This is a remote role open for multiple markets across the United States.

We are seeking a skilled and motivated Systems Engineer III- OpenShift/Kubernetes Platform Administrator to build, administer, and optimize enterprise OpenShift container platforms. This role is responsible for building, automate, maintaining highly available OpenShift clusters, automating infrastructure operations, ensuring platform security, and supporting application teams deploying cloud-native workloads. 

The ideal candidate will have strong experience in Red Hat OpenShift, Kubernetes, Linux administration, automation, and troubleshooting. The individual will work closely with DevOps, Cloud, Security, and Application Development teams to deliver reliable and scalable container platform services. 


Responsibilities & Qualifications

Duties & Responsibilities:

Cloud Infrastructure Management – Deploys and manages cloud resources, optimizing configurations for security, performance and cost-effectiveness.
Cloud Solution Design – Leads the design and deployment of scalable, resilient, and secure cloud architectures for critical applications
Infrastructure as Code – Defines and implements best practices for IaC, CI/CD, and infrastructure automation
Support - mentor team members providing guidance and technical leadership on complex projects. Engage in research and continuous improvement initiatives to adopt new technologies and best practices. Maintain and share technical documentation to support knowledge transfer within the team. Provides 24/7 on-call support to ensure the availability and reliability of cloud infrastructure

Position Specific Skills:
Architectural Design & Strategy
Cloud Security & Compliance
SDLC & CI/CD Integration
Cloud Services (e.g., AWS, Azure, GCP)
Infrastructure as Code (e.g., Terraform, Cloud Formation)
Policy as Code & Service Catalogues
Programming & Automation (e.g., JavaScript, Python)
Container Orchestration (e.g., Kubernetes)
Monitoring and Observability Tools
Operating Systems (Windows, Linux)
Cloud and Network Security Architectures

Qualifications:
Bachelor's Degree and 4 years' experience OR High School Diploma or GED/Equivalent and 8 years' experience in systems engineering.

Technical Skills 

  • 5+ years of systems engineering or infrastructure administration experience. 
  • 3+ years of hands-on OpenShift and Kubernetes administration experience. 
  • Experience supporting production container platforms in enterprise environments. 
  • Strong Linux system administration background. 

Container Platforms 

  • Red Hat OpenShift Container Platform (OCP) or any Kubernetes flavours 
  • Docker/Container Runtime Technologies 
  • OpenShift/kubernetes Operators 
  • OpenShift Pipelines, GitOps, ArgoCD 

Operating Systems 

  • Red Hat Enterprise Linux (RHEL), Linux Performance Tuning, Linux Security Hardening 
  • Shell Scripting 

Automation & Configuration Management 

  • Ansible, Terraform, Helm, Git, Bash/Python scripting 

Cloud & Infrastructure 

  • AWS, Azure, or Google Cloud Platform 
  • Virtualization technologies such as VMware 
  • Infrastructure provisioning and management 

Networking 

  • TCP/IP, DNS, Load Balancers, SSL/TLS Certificates, Network Policies, Routing and Firewall Concepts 

Monitoring & Logging 

  • Dynatrace/AppDynamics, Prometheus, Grafana 
  • Splunk, ELK/EFK Stack 
  • OpenShift Monitoring Stack 

Preferred Certifications 

  • Red Hat Certified OpenShift Administrator 
  • Red Hat Certified Engineer (RHCE) 
  • Certified Kubernetes Administrator (CKA) 
  • Certified Kubernetes Application Developer (CKAD) 
  • Red Hat Certified Specialist in Containers and Kubernetes 
  • AWS, Azure, or GCP Cloud Certifications

Additional Information

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Qualifications:

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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