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Remote Neural Network Engineer Jobs in Raleigh, NC

SHI

Presales Solutions Engineer - Network

Durham, NC · On-site +1

Job Summary The Presales Solutions Engineer- Network will work alongside Architects as a network ... This position is remote in the Raleigh, NC area with a hybrid setup as determined by SHI management.

Varsity Tutors

Machine Learning Tutor

Chapel Hill, NC · Remote

$18 - $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 ...

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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 Jul 30, 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 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 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

Network Engineer - DNS/DHCP

DS Technologies Inc

Raleigh, NC • Remote

Contractor

Re-posted 17 days ago

Job description

About US: We are a company that provides innovative, transformative IT services and solutions. We are passionate about helping our clients achieve their goals and exceed their expectations. We strive to provide the best possible experience for our clients and employees. We are committed to continuous improvement and innovation, and we are always looking for ways to improve our services and solutions. We believe in working collaboratively with our clients and employees to achieve success.

DS Technologies Inc is looking for Network Engineer DNS/DHCP role for one of our premier clients.

Job Title: Network Engineer DNS/DHCP
Location: Preferred Onsite Raleigh, NC | Remote considered for highly qualified candidates
Industry: Federal / Government (USPS-related)
Job Category: IT Network Engineering

Overview:
Seeking a skilled Network Engineer with specialized experience in DNS, DHCP, and IPAM (DDI) operations to support critical infrastructure. This position focuses on network service availability, IP address management, and DNS/DHCP troubleshooting, preferably for USPS-related projects.

Position: Contract W2 or C2C
Responsibilities:

  • Configure and manage DNS servers, zones, and records

  • Ensure availability and security of DNS (DNSSEC, DDoS protection)

  • Administer DHCP address pools and leases

  • Manage IPAM tools and maintain subnet allocation records

  • Collaborate with network teams for DDI integration

  • Respond to and resolve DNS/DHCP connectivity issues

  • Maintain documentation for DDI environments

  • Ensure DDI security policies and compliance

Requirement Qualifications:

  • USPS project experience highly preferred

  • CCNA or CompTIA Network+ certification mandatory

  • Experience with BlueCat DDI platform

  • Proficiency in DNS, DHCP, IPAM protocols

  • Cybersecurity and scripting skills (Perl, Python, JavaScript)

  • Familiarity with Splunk, APIs, and Linux scripting

  • Bachelor's degree in IT or equivalent experience

Additional Information:

  • Remote work may be considered for highly qualified individuals

  • Candidates with USPS or Federal project background preferred

Candidate Details:

  • Must include DDI tools used, certifications held, and details of DNS/DHCP/IPAM project experience

  • USPS experience should be clearly highlighted with project scope and role details

If you are interested, Kindly share your resume to

Kalyani@dstechnologiesinc.com
Sreeja@dstechnologiesinc.com
Gayathri@dstechnologiesinc.com
Nikitha@dstechnologiesinc.com

Thanks
DS Technologies - Team

DS Technologies Inc. is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive environment for all employees and applicants for employment and prohibit discrimination and harassment of any kind. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic in accordance with applicable federal, state, and local laws. We actively seek to build a workforce that reflects the communities we serve and encourage applicants from all backgrounds to apply.