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Remote Neural Network Engineer Jobs in Utah (NOW HIRING)

Varsity Tutors

Machine Learning Tutor

Logan, UT · 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 ...

Varsity Tutors

Machine Learning Tutor

Provo, UT · 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 ...

Varsity Tutors

Machine Learning Tutor

Spanish Fork, UT · 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 ...

Varsity Tutors

Machine Learning Tutor

Cedar City, UT · 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 ...

Resideo

Network Technician

Lehi, UT · Remote

$22 - $28.50/hr

Apply basic tier 1 configuration changes to remote client systems - wireless access points ... Resideo is a $6.76 billion global manufacturer, developer, and distributor of technology-driven ...

DFND Security

Firewall Engineer

Parowan, UT · On-site

$40.25 - $54/hr

... reliable, and compliant network operations within critical infrastructure environments. Key ... Coordinate with remote teams for cutover and validation * Perform initial connectivity and failover ...

ACD Direct

Techops Engineer -Mid Level

Farmington, UT · Remote

$52K - $85K/yr

Although position is remote employee will be required to visit data center on a quarterly basis. It ... networking, storage, and IAM. * Working knowledge of containerization (Docker) and basic ...

Paychex

AI Engineer

Salt Lake City, UT · On-site +1

$101K - $159K/yr

... remote tools.. * Applicant should have experience in infrastructure disciplines of networking ... Systems Engineering - Preferred * Automation - Preferred * Test Automation - Preferred * Computer ...

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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 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 Utah? For Remote Neural Network Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Remote Neural Network Engineer jobs in Utah look for? The top searched job categories for Remote Neural Network Engineer jobs in Utah are:
What cities in Utah are hiring for Remote Neural Network Engineer jobs? Cities in Utah with the most Remote Neural Network Engineer job openings:
Remote Neural Network Engineer jobs near you
Sr. Renewables Networks Engineer - REMOTE

Sr. Renewables Networks Engineer - REMOTE

ThinkBAC Consulting

Salt Lake City, UT • Remote

$96K - $131K/yr

Full-time

PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

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\n Sr. Energy Storage Network Engineer \- Renewables<\/span><\/span><\/b>
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\n Location: FULL\-TIME REMOTE (Anywhere in the USA)<\/span><\/span><\/b>
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\n This is an opportunity to join an industry leading renewable energy venture with strong private equity backing that is focused on the development, execution, and operations of dynamic utility\-scale energy storage projects.<\/span><\/span><\/span> <\/span><\/span>They are at the forefront of the industry, have accumulated over 9GW of projects in a relatively short period of time, and are currently in an accelerated expansion phase which includes the addition of Sr. Network Engineer to the Asset Management Team. <\/span><\/span><\/span><\/span><\/span>
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\n This is a business critical role that will help drive the Asset Management strategy in the areas of Operational Technology (OT), Network Engineering, Telecommunication System, and Automated Control Systems across the portfolio. It is a hands\-on role that will help Lead the development of network\/communication control system architecture and methodologies for innovative utility\-scale renewable energy projects involving battery storage technology. The control system architecture will also integrate with a proprietary in\-house data driven decision\-making technology platform. <\/span><\/span><\/b>
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\n They are committed to creating more renewable infrastructure solutions for the grid and are offering comprehensive compensation packages to their employees leading the drive to meet company goals.<\/span><\/span> <\/span><\/span><\/b><\/span><\/span>Other perks included a competitive base salary, annual bonus, open PTO policy, flex work hours, benefits, the opportunity to work with a transparent Executive Leadership Team..and more.<\/span><\/span><\/b>
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  • Sr. Renewables Network Engineer \/ OT Telecommunication Engineer \- Acts as an SME for all network management, control center design, telecommunication engineering, and operational technology <\/span>
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  • Sr. Renewables Network Engineer \/ OT Telecommunication Engineer \- Takes ownership of control systems architecture, integrations, algorithms, network models, and conceptual design build outs based on ISO\/RTO requirements <\/span>
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  • Sr. Renewables Network Engineer \/ OT Telecommunication Engineer \- Leads the design and configuration of LANs and WANs networking systems for project integrated hardware such as firewalls, routers, switches, servers, and supporting wireless tech<\/span>
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  • Sr. Renewables Network Engineer \/ OT Telecommunication Engineer \- Leads the installation\/integration of fiber optics, ethernet, virtual servers, physical server, and any other related software or hardware to ensure the security of the control systems network<\/span>
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  • Sr. Renewables Network Engineer \/ OT Telecommunication Engineer \- Oversees and manages strategy for OT Network performance, monitoring, and troubleshooting including the supervision of 3rd party contractors performing services<\/span>
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  • Sr. Renewables Network Engineer \/ OT Telecommunication Engineer \- Provides technical assessments of grid\-tied inverter software and hardware solutions including plant commissioning as well as construction  <\/span>
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  • Sr. Renewables Network Engineer \/ OT Telecommunication Engineer \- Drives the the cybersecurity, system recovery, system backup,  and security audit processes across the fleet of assets<\/span>
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  • Sr. Renewables Network Engineer \/ OT Telecommunication Engineer \- Leads business critical OT network \/ telecommunications stakeholder correspondence with Renewable Developers, Regulatory bodies, ISOs, and internal partners <\/span>
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    • Bachelors Degree in Engineering or related discipline with a focus on Electrical Engineer, Power Control Systems Architecture, Network Engineering, Telecommunications, IC&E, or Automation Systems<\/span><\/span><\/span>
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    • OT network engineering commissioning, site\-reviews, and project execution experience<\/span>
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    • Ability to provided critical input on t<\/span><\/span><\/span>echnical assessments of utility\-scale renewable energy grid\-tied inverter software and hardware solutions <\/span>
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    • Well versed in writing\/defining telecommunication network engineering operational scopes, conceptual design, and defining technical requirements<\/span><\/span><\/span>
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    • Practical experience in diagnosing network performance issues and utilizing packet analysis tools like Wireshark and NMAP<\/span>
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    • Skilled in network security measures, including firewalls, intrusion detection systems, and encryption techniques \- Palo Alto, <\/span><\/span>Fortinet, & <\/span><\/span><\/span>Cisco<\/span><\/span><\/span>
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    • In\-depth understanding of communication protocols \- Modbus, DNP3, and TCP\/IP<\/span>
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    • Strong grasp of cybersecurity practices and principles, including NERC\/CIP and NIST standards<\/span>
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    • Capable of designing, configuring, and maintaining intricate WAN and LAN systems<\/span>
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    • Proven expertise in TCP\/IP and associated services (e.g., DNS, DHCP), management of <\/span><\/span>Cisco\/<\/span><\/span><\/span>Palo Alto\/Fortinet firewalls, DMZ setup and management, IP routing, VLAN management, as well as standards and practices for modems, radio systems, and fiber optics<\/span>
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    • Preferably familiar with operational technology (OT) software and hardware (e.g., Ignition, PLC, RTU)<\/span>
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    • Basic knowledge of programming languages, including batch and shell scripting<\/span>
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      \n *The deadline for applications is 75 days from the original posting date <\/span><\/span><\/span><\/span>
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