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Remote Network Engineer Isp Jobs in Merced, CA (NOW HIRING)

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Remote Network Engineer Isp information

See Merced, CA salary details

$32.7K

$115.1K

$166.9K

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

As of Aug 2, 2026, the average yearly pay for remote network engineer isp in Merced, CA is $115,149.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $141,000.00 per year, depending on experience, location, and employer.

What does a Remote Network Engineer at an ISP do?

A Remote Network Engineer at an Internet Service Provider (ISP) is responsible for designing, implementing, managing, and troubleshooting network systems and infrastructure from a remote location. Their tasks include configuring routers and switches, monitoring network performance, responding to outages or security incidents, and ensuring reliable internet connectivity for customers. They often collaborate with on-site technicians and other IT staff to resolve complex network issues and may also assist with network upgrades and documentation.

What are the key skills and qualifications needed to thrive as a Remote Network Engineer at an ISP, and why are they important?

To thrive as a Remote Network Engineer at an ISP, you need a solid understanding of networking protocols, troubleshooting, and network security, typically supported by a degree in computer science or a related field and certifications like Cisco CCNA or CompTIA Network+. Familiarity with tools such as network monitoring systems (e.g., SolarWinds), configuration management, and remote access technologies is crucial. Excellent problem-solving, communication, and time management skills help you efficiently address issues and collaborate with distributed teams. These skills ensure reliable network performance, quick resolution of outages, and high-quality customer service in a remote, fast-paced environment.

What is the difference between Remote Network Engineer Isp vs Remote Network Technician?

AspectRemote Network Engineer IspRemote Network Technician
CertificationsCCNA, CCNP, CompTIA Network+CompTIA A+, Network+
Work EnvironmentDesign, troubleshoot, and optimize ISP networks remotelyInstall, maintain, and repair network hardware remotely or on-site
Employer & Industry UsageTelecom providers, ISPs, large enterprise networksService providers, ISPs, technical support teams

The Remote Network Engineer Isp focuses on designing and managing ISP networks remotely, requiring advanced certifications. In contrast, the Remote Network Technician handles hardware installation and troubleshooting, often with entry-level certifications. Both roles support ISPs but differ in responsibilities and expertise levels.

What are some common challenges faced by remote Network Engineers working for ISPs, and how can they overcome them?

Remote Network Engineers at ISPs often face challenges such as troubleshooting complex network issues without on-site access, coordinating with dispersed teams, and managing time-sensitive incidents across different time zones. They can overcome these obstacles by utilizing advanced remote monitoring and diagnostic tools, maintaining clear communication through collaboration platforms, and following robust documentation practices. Building strong relationships with local field technicians and staying current with the latest networking technologies also help ensure efficient problem-solving and professional growth.
What are popular job titles related to Remote Network Engineer Isp jobs in Merced, CA? For Remote Network Engineer Isp jobs in Merced, CA, the most frequently searched job titles are:
What job categories do people searching Remote Network Engineer Isp jobs in Merced, CA look for? The top searched job categories for Remote Network Engineer Isp jobs in Merced, CA are:
What cities near Merced, CA are hiring for Remote Network Engineer Isp jobs? Cities near Merced, CA with the most Remote Network Engineer Isp job openings:
Remote Network Engineer Isp jobs near you
Infographic showing various Remote Network Engineer Isp job openings in Merced, CA as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $115,149 per year, or $55.4 per hour.

Research Intern on Generative and Protective AI for Content Creation

Sony

Merced, CA • On-site, Remote

$50/hr

Full-time

Posted 3 days ago

New

Job description

Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony's other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: https://ai.sony/

Position Summary

Sony AI is seeking research interns who are passionate about ML-based technologies that are useful in movie , game , and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film, game , and music production across entertainment studios worldwide.

Responsibilities

As a research intern, you will investigate and apply novel algorithms related to:

  • The generation and editing of video, sound, and 3D visual geometry (including 3D human motion).
  • The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution.

Your goal will be to publish your findings in a top-tier conference. You are expected to be self-motivated and to implement innovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts.

Required Qualifications

  • Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields.
  • Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing.
  • Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ).
  • Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS , ICLR, and ICML.
  • Excellent communication and presentation skills.

Preferred Qualifications

  • Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines.

Working Location

Location flexible (Tokyo, NYC, remote)

The target hourly rate for this internship is $50.00 per hour. The individual will be paid hourly and eligible for overtime .

LI-AS1

All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation.

Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for.

We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information.

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