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Remote Neural Network Engineer Jobs in Arizona (NOW HIRING)

Remote Rate: $130K per annum Job Responsibilities Develop and optimize features in a modern, low ... neural rendering, radiance fields, or Gaussian splatting Experience with advanced rendering ...

Machine Learning Tutor

Tempe, AZ · 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 ...

Machine Learning Tutor

Phoenix, AZ · 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

Mesa, AZ · 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

Gilbert, AZ · 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

Tucson, AZ · 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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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 Arizona? For Remote Neural Network Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Neural Network Engineer jobs in Arizona look for? The top searched job categories for Remote Neural Network Engineer jobs in Arizona are:
What cities in Arizona are hiring for Remote Neural Network Engineer jobs? Cities in Arizona with the most Remote Neural Network Engineer job openings:
Senior Network Engineer VII (Job 2935)

Senior Network Engineer VII (Job 2935)

Arizona Supreme Court

Phoenix, AZ • On-site, Remote

$103K - $142K/yr

Full-time, Part-time

Medical, Dental, Life, Retirement, PTO

Posted 24 days ago


Job description

JOB TITLE:
Senior Network Engineer – Specialist VII

JOB #:
2935

DIVISION:
Information Technology

HIRING SALARY:
DOE

CLOSING DATE:
All positions are open until filled.

EMPLOYEE REFERRAL PROGRAM: This position is eligible for an employee referral incentive payment of $1,000.00 (conditions apply).

POSITION SUMMARY:

The Arizona Supreme Court Information Technology Division is seeking a Senior Network Engineer to join the Infrastructure Team. This technical position performs complex technical and administrative functions to ensure the availability and reliability of the Arizona Supreme Court’s statewide network.

This role assists the Enterprise Network Supervisor and serves as a lead resource to support other Network Engineers with work assignments and technical guidance. Responsibilities include providing technical support for all wireless infrastructure and connectivity across the Arizona Judicial Internet network; serving as an escalation point for field engineers during both on-shift and off-shift installations; configuring Sophos and Cisco security and network equipment; assisting with cabling projects; and creating and maintaining network documentation and diagrams as needed.

Public Service Loan Forgiveness (PSLF) Program qualified employer.

MINIMUM REQUIREMENTS:
The successful candidate should possess a bachelor’s degree in Computer Science or a related field. Relevant work experience in a LAN/WAN environment may substitute for educational requirements. This position requires a minimum of five years of experience in customer-focused network support, including technical support within a large-scale LAN and WAN environment.

Cisco Certified Network Associate (CCNA) or Cisco Certified Network Professional (CCNP) certification is required.

Extensive knowledge of IP subnetting, IP routing, VPN technologies, and Cisco networking equipment is required. Candidates should also have intermediate knowledge of routing protocols and network security principles, along with experience supporting Sophos and Cisco Next-Generation Firewalls.

The preferred candidate will have working knowledge of Windows 10 and newer operating systems, Wireshark, and other network-related diagnostic tools. The ability to work effectively in a high-change environment as part of a collaborative network team is essential.

This position requires in-state travel with little notice and requires off-shift hours and weekends at times.

SELECTION PROCESS:
Applicants must be currently authorized to work in the United States on a full-time basis. Only applicants whose backgrounds most closely meet the needs of the position may be invited to interview. Requests for special accommodation to participate in the interview process should be made at the time you are contacted to schedule an interview. The Selection Process may include first and/or second round panel interviews. This is a Regular, Full-time, Exempt position.

BENEFITS:

The Arizona Supreme Court, Administrative Office of the Courts, offers a comprehensive benefits package to include:

  • Accrued vacation pay and sick leave
  • 10 paid holidays per year
  • Health and dental insurance
  • Retirement plan
  • Life insurance and long-term disability insurance
  • Optional employee benefits include short-term disability insurance, deferred compensation plans, and supplemental life insurance
  • By providing the option of a full-time or part-time remote work schedule, employees enjoy improved work/life balance, report higher job satisfaction, and are more productive. Remote work is a management option and not an employee entitlement or right. The Court may terminate a remote work agreement at its discretion.

RETIREMENT:

  • Positions in this classification participate in the Arizona State Retirement System (ASRS).
  • Please note, enrollment eligibility will become effective after 27 weeks of employment.

The Arizona Supreme Court is an EOE/ADA Reasonable Accommodation Employer.