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Remote Neural Network Engineer Jobs in Pennsylvania

SAIC is seeking a seasoned Network Engineer to join our Network Team. You will be responsible for ... This position is remote with travel. Key Responsibilities: * Architecture & Design: Design ...

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

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

Machine Learning Tutor

Erie, PA · 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 ...

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

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

Machine Learning Tutor

Chester, PA · 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 ...

Machine Learning Tutor

Reading, PA · 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 ...

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Design and implemention deep neural networks, including CNNs, RNNs, or Transformer-based ...

New

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Network programming such as TCP/UDP and client-server * Messaging interfaces (ActiveMQ, DDS, Kafka ...

Cybersecurity Engineer (Partially Remote) We are in search of our next (two)great hires, as a ... Knowledge of Networking and communication protocols * Experience in Penetration Testing or other ...

Site Reliability Engineer (REMOTE)

Pittsburgh, PA · Remote

$159K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Site Reliability Engineer will be responsible for ensuring the availability, reliability, and ... Network security concepts (802.1x, RADIUS, Security Certificate Management) * Possess a customer ...

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Remote Neural Network Engineer information

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?

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 the most commonly searched types of Neural Network Engineer jobs in Pennsylvania?

The most popular types of Neural Network Engineer jobs in Pennsylvania are:

What are popular job titles related to Remote Neural Network Engineer jobs in Pennsylvania?

For Remote Neural Network Engineer jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Remote Neural Network Engineer jobs in Pennsylvania look for?

The top searched job categories for Remote Neural Network Engineer jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Remote Neural Network Engineer jobs?

Cities in Pennsylvania with the most Remote Neural Network Engineer job openings:

Network Engineer Level 5

SAIC

Chambersburg, PA • Remote

Full-time

Re-posted 23 days ago


SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

78th of 223 rated it services


Job description

SAIC is seeking a seasoned Network Engineer to join our Network Team. You will be responsible for the architecture, design, deployment, and optimization of our high-traffic, carrier-grade network infrastructure. The ideal candidate has deep, hands-on experience maintaining five-nines (99.999%) availability in a dedicated infrastructure (utilizing dark fiber, wavelength services), service provider, and/or large-scale data center. You will lead complex troubleshooting, ensure robust security, and drive network modernization, including advanced L0 optimization, IPv4/IPv6 transition and SDN (L0-L3) automation physical transport, data link, and network layers simultaneously. This position is remote with travel. 
Key Responsibilities:

  • Architecture & Design: Design, implement, and maintain high-performance, scalable, and resilient IP network infrastructure (MPLS, IP/Ethernet).
  • Operations & Troubleshooting: Provide Tier 3/4 escalation support, conducting deep-packet inspection and root cause analysis (RCA) for complex outages.
  • Routing & Switching: Manage and optimize advanced routing protocols including BGP, OSPF, and ISIS, specifically focusing on traffic engineering and internet peering.
  • Carrier Grade Technologies: Implement and manage carrier-grade NAT (CGNAT) for IPv4/IPv6 transition, AAA/RADIUS infrastructure, and high-capacity wireless/mobility cores.
  • Performance Optimization: Maximize network performance through continuous monitoring and capacity planning to handle high-traffic volumes.
  • Automation: Develop and implement automation scripts using Python, Ansible, or Terraform to streamline configuration, provisioning, and MOP (Method of Procedure) execution.
  • Security & Compliance: Ensure compliance with security standards (e.g., ISO27001, PCI-DSS) and implement network-level security, such as DDoS protection and lawful intercept.
  • Documentation: Create and maintain detailed network diagrams, MOPs, and technical documentation.

SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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