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Neural Engineering Jobs in Gilbert, AZ (NOW HIRING)

Engineering tables and jobs using Spark SQL and Python to meet analysis and reporting needs ... sentiment analysis, neural network, etc.) * Communicating complex technical concepts to ...

Engineering tables and jobs using Spark SQL and Python to meet analysis and reporting needs ... sentiment analysis, neural network, etc.) * Communicating complex technical concepts to ...

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

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 ...

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

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 ...

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

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 ...

Collaborate with engineering, product, and data science teams to understand requirements ... Large-scale graph representation learning and Graph Neural Networks (GNNs) (e.g., GCN/GAT/GraphSAGE ...

Collaborate with engineering, product, and data science teams to understand requirements ... Large-scale graph representation learning and Graph Neural Networks (GNNs) (e.g., GCN/GAT/GraphSAGE ...

... neural networks * Experience with at least one statistical programming language: SAS, R, and/or Python Other Things We Look For: * Experience with cloud-based environments (e.g., AWS), Linux, and/or ...

... and software engineering. Identifies patterns and looks for opportunities for optimization ... neural networks, data mining techniques, etc. * Experience with most or all of the following basic ...

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Neural Engineering information

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How much do neural engineering jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for neural engineering in Gilbert, AZ is $19.26, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $20.87 per hour, depending on experience, location, and employer.

What is neural engineering?

Neural engineering is a multidisciplinary field that combines engineering, neuroscience, and computational approaches to understand, repair, enhance, or interface with the nervous system. Neural engineers develop devices such as brain-computer interfaces, neural prosthetics, and neurostimulation systems to restore or improve neural function. This field plays an important role in advancing treatments for neurological disorders and in creating technologies that bridge the gap between machines and the human brain.

What are jobs in neural engineering?

Jobs in neural engineering focus on helping research and design biomedical devices like prosthetic limbs and artificial organs. In these roles, you may determine the best way to implement designs for each situation, figure out the best way to link mechanical systems to the human brain, and find the most cost-effective ways to build devices. Neural engineering differs from engineering regular prosthetic limbs in that they receive instructions directly from the brain and often send information back, rather than simply being attached to the body. This often involves programming specialized software and figuring out how to make devices that can teach the brain how to use them. In recent years, neural engineering has started to move out of the medical realm, and there may be more jobs of that nature in the future. Neural engineering is a specific type of biomedical engineering, but should not be confused with jobs in the broader category.

What are the key skills and qualifications needed to thrive as a neural engineer, and why are they important?

To thrive as a Neural Engineer, you need a strong background in neuroscience, biomedical engineering, and signal processing, typically supported by an advanced degree in a related field. Familiarity with programming languages (such as MATLAB or Python), neuroimaging tools, and hardware platforms used for neural interfacing is essential. Excellent problem-solving skills, collaboration, and clear communication set standout professionals apart in this multidisciplinary environment. These skills are crucial for developing innovative neural technologies and translating research into effective clinical or commercial solutions.

What are some common interdisciplinary challenges faced by neural engineers when collaborating with clinicians and data scientists?

Neural engineers frequently work on teams that include clinicians, data scientists, and hardware specialists, which can present unique interdisciplinary challenges. Effective communication is essential, as team members often have different technical backgrounds and priorities—clinicians focus on patient outcomes, while data scientists emphasize analytical accuracy. Bridging the gap between clinical needs and technical feasibility requires adaptability, openness to feedback, and a willingness to learn new concepts. Building strong collaborative relationships and participating in regular cross-functional meetings can help ensure that project goals are clearly understood and met by all stakeholders.

How much do neural engineers make?

Neural engineers typically earn a median annual salary of around $80,000 to $120,000, depending on experience, education, and location. Advanced skills in neurotechnology, programming, and biomedical engineering can lead to higher compensation, especially in research or industry roles.

Is neural engineering a good career?

Neural engineering is a growing field that combines neuroscience, engineering, and technology to develop medical devices and brain-computer interfaces. It offers opportunities in research, healthcare, and industry, often requiring advanced degrees and technical skills. The career can be rewarding for those interested in innovation and interdisciplinary work.

What can you do with a neural engineering degree?

A neural engineering degree prepares individuals for careers in developing brain-computer interfaces, neuroprosthetics, and neural signal processing. Graduates often work in research, healthcare, or industry settings, utilizing skills in neuroscience, engineering, and programming tools like MATLAB or Python. Opportunities include roles in biomedical device development, neural data analysis, and clinical applications.

What job categories do people searching Neural Engineering jobs in Gilbert, AZ look for?

The top searched job categories for Neural Engineering jobs in Gilbert, AZ are:

Infographic showing various Neural Engineering job openings in Gilbert, AZ as of August 2026, with employment types broken down into 88% Full Time, 9% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $40,056 per year, or $19.3 per hour.

Contact Center Data Analyst

U-Haul

Phoenix, AZ • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


U-Haul rating

6.0

Company rating: 6.0 out of 10

Based on 520 frontline employees who took The Breakroom Quiz

152nd of 175 rated vehicle equipment hire


Job description

Location:

2727 N Central Ave, Phoenix, Arizona 85004 United States of America

This position is not eligible for employer sponsorship.


To ensure a fair and consistent evaluation process, candidates are expected to complete all interviews and assessments independently and without the use of artificial intelligence tools (including AI-generated responses, prompts, or real-time assistance).Use of AI throughout the application and recruiting process may result in removal from consideration. Our goal is to get to know your authentic experiences, communication style, and problem-solving approach.


This position is local to our corporate campus located in Phoenix, AZ and is ineligible for fully remote work.


As a Data Analyst, team members will be responsible for evaluating and improving U-Haul's products and services. You will be interacting with multi-disciplinary teams of Data Scientists, Engineers and Business Experts and will bring big data analytics and scientific rigor to the team. This process involves understanding complex business functions, creating new solutions, analyzing structured and unstructured data, forming descriptive analysis and dashboards, and developing models for inference and prediction. You are expected to embrace new technologies and deliver smart solutions and services, collaborate with teams, share their knowledge, and collectively grow capability, skills, and knowledge in the team.


Responsibilities:

  • Engineering tables and jobs using Spark SQL and Python to meet analysis and reporting needs
  • Creating interactive and drill-down dashboards to deliver key trends and insights to stakeholders
  • Working with leaders and domain experts to identify business needs, create an analysis plan, identify deliverables, and communicate key insights
  • Designing and implementing the data science model appropriate to the business challenge (classification, regression, unsupervised learning, recommendation systems, sentiment analysis, neural network, etc.)
  • Communicating complex technical concepts to stakeholders with confidence and integrity
  • Working with business stakeholders to determine metrics for evaluating the models
  • Working with data engineers to create datasets for insight and prediction
  • Building data visualizations, reports, and presentations
  • Rapidly learning and implementing new technologies and tools
  • Provide leadership to help shape our data initiatives across U-Haul
  • Potential to share and teach skills around advanced data analytics and data evaluation
  • Handling a variety of responsibilities under pressure and functioning independently

Relevant tasks:

  • Formulate mathematical or simulation models of problems, relating constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters.
  • Perform validation and testing of models to ensure adequacy, and reformulate models, as necessary.
  • Collaborate with senior managers and decision makers to identify and solve a variety of problems and to clarify management objectives.
  • Present the results of mathematical modeling and data analysis to management or other end users.
  • Collaborate with others in the organization to ensure successful implementation of chosen problem solutions.
  • Analyze information obtained from management to conceptualize and define operational problems.
  • Study and analyze information about alternative courses of action to determine which plan will offer the best outcomes.
  • Prepare management reports defining and evaluating problems and recommending solutions.
  • Define data requirements, gather and validate information, apply judgment and statistical tests.
  • Observe the current system in operation and gather and analyze information about each of the component problems, using a variety of sources.
  • Breakdown systems into their components, assign numerical values to each component, and examine the mathematical relationships between them.
  • Design, conduct, and evaluate experimental operational models in cases where models cannot be developed from existing data.
  • Educate staff in the use of mathematical models.
  • Specify manipulative or computational methods to be applied to models.
  • Develop and apply time and cost networks to plan, control, and review large projects.
  • Develop business methods and procedures, including accounting systems, file systems, logistics systems, and production schedules.

Qualifications:

  • Master's degree from an accredited college/university in Business Analytics, Computer Science, Statistics, Mathematics, Engineering, or related fields, with 3 years of relevant experience
  • Proven experience in SQL and Python
  • Proven experience in Power BI and Databricks
  • Proven experience processing and analyzing structured and unstructured data
  • Exposure to and familiarity with common statistical and machine learning techniques.
  • Substantial depth in one or more of the above techniques with past industry projects and/or academic research.
  • The ability to communicate and present both orally and in writing, and comfortability with ambiguity and change
  • High degree of drive, energy, self-confidence, commitment, and flexibility

UHaul Offers:

  • Medical insurance
  • Prescription drug plans
  • Dental & Vision plan with hearing care discounts
  • Onsite medical clinic for team members and eligible family members
  • New indoor fitness gym (Midtown Phoenix campus)
  • Get Fit Gym Reimbursement Program
  • Registered Dietitian Program
  • WeightWatchers
  • CVS Virtual Care
  • UHaul Kids Program
  • 24Hour Nurse Line
  • Wellness Program (Healthier You initiatives & challenges)
  • Mindset App Reimbursement
  • Pet Insurance & Wellness plans
  • Career stability
  • Opportunities for advancement
  • Valuable onthejob training
  • Tuition Reimbursement Program
  • Free online courses for personal and professional development at UHaul University
  • 401(k) Savings Plan
  • Employee Stock Ownership Plan (ESOP)
  • Companypaid life insurance
  • Voluntary life insurance options
  • Short-Term and LongTerm Disability
  • Critical Illness, Accident & Hospital Indemnity plans
  • Business & business travel insurance
  • MetLaw Legal Program
  • MetLife Auto & Home Insurance
  • LifeLock Identity Theft Protection
  • Dave Ramsey's SmartDollar Financial Wellness Program
  • UHaul Federal Credit Union
  • Paid holidays, vacation, and sick time
  • You Matter Employee Assistance Program (EAP)
  • Discounts on cell phone plans, hotels, computers, vehicles & more
  • Community involvement & volunteer opportunities
  • UHaul Mothers Program (Paid maternity leave)

#LI-FT1

U-Haul Holding Company, and its family of companies including U-Haul International, Inc. ("U-Haul"), continually strives to create a culture of health and wellness. Consistent with applicable state law, U-Haul will not hire or re-hire individuals who use nicotine products. The states in which U-Haul will decline to hire nicotine users are: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Pennsylvania, Texas, Utah, Vermont, Virginia, and Washington. U-Haul has observed this hiring practice since February 1, 2020 as part of our commitment to a healthy work environment for our team.

U-Haul is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, physical or mental disability, veteran status, or any other basis protected by applicable federal, provincial, state or local law. Individual accommodations are available on requests for applicants taking part in all aspects of the selection process. Information obtained during this process will only be shared on a need to know basis.


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