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Remote Neural Network Engineer Jobs in Phoenix, AZ

Cable One, Inc.

Senior Solutions Engineer (Hybrid)

Phoenix, AZ · On-site +1

$52.25 - $67.50/hr

Conducts live and remote demonstrations and makes presentations to prospective customers clearly ... Certifications in fiber splicing, network engineering, or project management (e.g., PMP, BICSI, FOA)

Motorola

Senior DevOps Engineer (US REMOTE)

Phoenix, AZ · Remote

$140K - $170K/yr

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Familiarity with TCP/IP networking and troubleshooting tools (WireShark, TCPDump, SNGrep, nslookup)

Banner Health

Cybersecurity Engineer III

Phoenix, AZ · On-site +1

Department Name: IT Network Services Work Shift: Day Job Category: Information Technology Banner ... This can be a remote position if you live in the following states ONLY: Al, AK, AR, FL, GA, ID, IN ...

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All JobsNeural Network Engineer JobsRemote Neural Network Engineer JobsRemote Neural Network Engineer Jobs in Phoenix, AZ

Remote Neural Network Engineer information

See Phoenix, AZ salary details

$30.8K

$108.3K

$156.9K

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

As of Aug 8, 2026, the average yearly pay for remote neural network engineer in Phoenix, AZ is $108,267.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,400.00 and $132,600.00 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?

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 Phoenix, AZ? For Remote Neural Network Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Remote Neural Network Engineer jobs in Phoenix, AZ look for? The top searched job categories for Remote Neural Network Engineer jobs in Phoenix, AZ are:
Remote Neural Network Engineer jobs near you

Network Systems Engineer III - Phoenix Local Remote

Valleywise Health System

Phoenix, AZ • On-site, Remote

$44.95 - $66.30/hr

Other

Re-posted 29 days ago

Valleywise Health rating

7.5

Company rating: 7.5 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

189th of 887 rated healthcare providers

Job description

Under the direction of the Sr Manager Engineering and Infrastructure, this position proficiently applies IT methods, professional knowledge, and Valleywise Health standards and practices and intuitively grasps familiar, stable system performance situations as it relates to converged infrastructure. The position focuses on how to design and manage complex systems over their life cycle, taking into consideration topics such as requirements management, reliability management, logistics, coordination of different teams, evaluation measurements in terms of trade-off studies, and other disciplines and become critical tasks when dealing with large or complex projects. It also deals with work processes, optimization methods, and risk management in every engineering engagement.
Considers multiple business domains, viz., clinical management systems, business management systems, biomedical systems, and many frameworks such as architectural methods, engineering methods, SDLC, quality assurance, ITSM, and project management. Recognizes subtle problems with system design or performance and acts appropriately to improve the condition, seeking validation of actions in advance as appropriate. Manages relationships with business partners, professional peers, and other team members. Acts as primary contact for dealing with challenging and complex technical issues. In addition, this position mentors, develops junior analysts, and educates others on best practices.
Annual Salary Range: $93,496.00 - $137,904.00
Phoenix metro only Remote
Qualifications
Education:
  • Requires a Bachelor's Degree in Information Systems (IS) or a related field or an equivalent combination of training and progressively responsible experience that will result in the required specialized knowledge and abilities to perform the assigned work in lieu of a degree.
  • A Master's Degree is preferred and may substitute for up to two (2) years of required experience.
  • A doctorate may substitute for all required experience.
  • Highly Preferred Technical Skills:
    Minimum of 5 years hands-on experience, training and certification using and supporting the following technologies:
  • Cisco Data Center Technologies
  • Nexus
  • ASA
  • ISE
  • Catalyst Center/Cisco Spaces
  • MPLS, BGP
  • F5
  • NAC
  • InfoBlox
  • Palo Alto

Experience:
  • Requires five (5) years of progressively responsible structured systems analysis, design, development, or systems engineering-related experience demonstrating an in-depth knowledge of at least two converged domains and a thorough understanding of the required knowledge, skills, and abilities.

Certification/Licensure:
  • Within 18 months in the position, must possess certification in a minimum of two (2) converged domains (advanced level) that demonstrates a technical understanding and literacy within the areas of converged specialization, viz. domains of Compute, Storage, Networking, Data Center and infrastructure Services.
  • Must have a valid fingerprint clearance card issued by the Arizona Department of Public Safety or submit a completed Affidavit at the time of hire. Must complete fingerprint clearance card application within seven (7) days of hire date. Must present actual card within 90 days of applying for a fingerprint clearance card.

Knowledge, Skills, and Abilities:
  • Must demonstrate an in-depth understanding of computing, storage, networks or telecommunications, and utilities by being able to design and implement its configurations.
  • Must know methods viz.: Systems Engineering and ITIL and an understanding and awareness of Project Management, Financial Management, and Security.
  • Knowledge of biomedical devices is desirable.
  • Requires ability to conduct platform studies and performance analyses, recommend changes, and design methods/tunes systems/servers/networks to high performance.
  • Must be able to lead implementation and deployment efforts and document and maintain hardware platform policies and procedures.
  • Must be able to create solutions to complex operational problems, collaborate with vendors and users as required, and identify trends that warrant immediate attention.
  • Requires the ability to guide management in predicting performance and capacity and addressing related issues.
  • Must be able to perform performance tuning, error tracking, and debugging, develop and execute complex change implementation plans, resolve complex operational problems, and determine root causes.
  • Must demonstrate an in-depth understanding of system/servers and utilities by designing and implementing configuration.
  • Must be able to execute thorough disaster recovery testing procedures, perform system management for complex development efforts, and set up most development environments with little or no supervision from the lead system administrator.
  • Must be able to work with the development team to configure and troubleshoot applications.
  • Requires ability to design complex hardware/platform infrastructure and interfaces.
  • Must be able to perform complex hardware sizing, troubleshoot complex hardware problems, perform as hardware resource lead on most projects, and develops high-availability hardware platform designs.
  • Must create, expand and maintain relationships with peers and stakeholders.
  • Must be attentive to communications interaction, demonstrate comprehension of detailed information, and adapt to various verbal styles and modes of persuasion.
  • Must be able to bring conflict into the open and help resolve conflict; and create a friendly climate and good morale and cooperation.
  • Must be reliable; can inspire performance and address issues effectively; and take bold and decisive action despite risks, conflicts, and uncertainty.
  • Must be able to communicate a compelling vision that generates excitement, enthusiasm, and commitment.
  • Requires the ability to guide others to setting goals aligned with organizational vision, culture, policies, and practices.
  • Requires the ability to read, write and speak effectively in English.

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