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Remote Neural Engineer Jobs in Florida (NOW HIRING)

Remote Neural Engineer information

What is a Remote Neural Engineer?

A Remote Neural Engineer is a professional who designs, develops, and maintains neural engineering systems—such as brain-computer interfaces or neural prosthetics—while working remotely. They often collaborate with multidisciplinary teams to create solutions that interface with the nervous system, using expertise in neuroscience, biomedical engineering, and software development. Remote Neural Engineers may work from home or distributed locations, utilizing digital tools to analyze neural data, develop algorithms, and contribute to research or product development in the neural technology field.

What are the key skills and qualifications needed to thrive as a Remote Neural Engineer, and why are they important?

To thrive as a Remote Neural Engineer, you need a solid background in neuroscience, biomedical engineering, or electrical engineering, often supported by a relevant degree or advanced certification. Proficiency with neural signal processing software, programming languages like Python or MATLAB, and brain-computer interface (BCI) systems is typically required. Strong problem-solving skills, attention to detail, and effective virtual communication are vital soft skills in this role. These skills and qualities are essential for developing, analyzing, and troubleshooting complex neural systems while collaborating with teams remotely.

What engineers make $300,000 a year?

Senior neural engineers or specialized AI and machine learning engineers in high-demand industries can earn $300,000 or more annually, especially with extensive experience, advanced skills in deep learning, and working in competitive tech environments. Such roles often require advanced degrees, certifications, and a strong portfolio of research or projects.

How do Remote Neural Engineers typically collaborate with cross-functional teams while working off-site?

Remote Neural Engineers frequently use digital collaboration tools such as video conferencing, shared code repositories, and project management platforms to stay connected with colleagues in neuroscience, software development, and data science. Regular virtual meetings and asynchronous communication help ensure alignment on project goals, data analysis, and protocol development. This structure allows for flexibility, but also requires proactive communication and strong organizational skills to manage complex, interdisciplinary tasks from a distance.

What engineers make $500,000?

Senior neural engineers or specialized AI and machine learning engineers in high-demand industries can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning, and working in competitive tech sectors. Compensation often includes base salary, bonuses, and stock options, particularly at leading tech companies or startups with significant funding.

What is the difference between Remote Neural Engineer vs Remote Data Scientist?

AspectRemote Neural EngineerRemote Data Scientist
Required CredentialsDegree in neuroscience, biomedical engineering, or related fields; knowledge of neural interfacesDegree in computer science, statistics, or related fields; proficiency in data analysis
Work EnvironmentResearch labs, tech companies, healthcare institutions with focus on neural dataTech firms, finance, healthcare, analyzing large datasets
Industry UsageNeuroscience, biomedical engineering, neurotechnologyTechnology, finance, healthcare, research
Common Search/ComparisonYesYes

Remote Neural Engineers focus on developing and implementing neural interfaces and understanding neural systems, often requiring knowledge of neuroscience and biomedical engineering. Remote Data Scientists analyze large datasets to extract insights, typically with skills in statistics and programming. While both roles involve technical expertise and data analysis, Neural Engineers are more specialized in neural technologies, whereas Data Scientists have a broader application across industries.

Is neuroengineering a good career?

Neuroengineering is a growing field that combines neuroscience, engineering, and computer science to develop technologies like brain-computer interfaces and neural prosthetics. It offers opportunities in research, healthcare, and industry, often requiring advanced degrees and technical skills. The career can be rewarding for those interested in innovative medical solutions and interdisciplinary work.

Can you work remotely as an AI engineer?

Remote work is common for AI engineers, including those specializing in neural engineering, as many companies offer remote positions that involve programming, data analysis, and model development. Successful remote AI engineers typically have strong communication skills, proficiency with tools like Python and TensorFlow, and a reliable internet connection. However, some roles may require on-site presence for hardware setup or collaboration, depending on the company's policies.
What are the most commonly searched types of Neural Engineer jobs in Florida? The most popular types of Neural Engineer jobs in Florida are:
What are popular job titles related to Remote Neural Engineer jobs in Florida? For Remote Neural Engineer jobs in Florida, the most frequently searched job titles are:
What cities in Florida are hiring for Remote Neural Engineer jobs? Cities in Florida with the most Remote Neural Engineer job openings:
Decision Scientist - Course Developer/Instructor

Decision Scientist - Course Developer/Instructor

The Walt Disney Company

Lake Buena Vista, FL • On-site, Remote

$111K - $150K/yr

Full-time

Posted 17 days ago


Walt Disney Company rating

7.7

Company rating: 7.7 out of 10

Based on 126 frontline employees who took The Breakroom Quiz

5th of 48 rated entertainment


Job description

Job Posting Title:

Decision Scientist - Course Developer/Instructor

Req ID:

10142558

Job Description:

The Disney Decision Science and Integration (DDSI) teamleveragesadvanced technologies, data analytics, and scientific approaches such as optimization and statistical modeling to build innovative tools that shape business decisions across The Walt Disney Company. We support Disney Entertainment (ABC, The Walt Disney Studios, Disney+, Hulu), ESPN, Disney Experiences (Theme Parks, Cruise Line, Consumer Products, DVC), and Corporate Finance with strategic applications that enable data-driven decision-making.

In DDSI, we sit at the intersection of business strategy, advanced analytics, and technology integration to help our partners explore opportunities for analytics, shape business decisions, and drive value. As an analytical Center of Excellence, we are responsible for developing and delivering data science courses to business professionals across the enterprise, including individual contributors and executives. As a Decision Scientist - Course Developer/Instructor, you will play a pivotal role in designing and teaching these courses. In addition, you will have opportunities to develop innovative decision science solutions that support critical projects for internal clients.

This team is based in Lake Buena Vista, FL and works in office. The role reports to the Senior Manager, Decision Science.

What You Will Do

Responsibilities as a Decision Scientist Course Developer/Instructor

  • Develop and deliver applied data science courses covering topics such as probability and uncertainty, mathematical optimization, coding for automation and data analytics, machine learning, and data visualization.

  • Support learning across the enterprise through "office hour"-style consultations that help business professionals apply methods and ideas from our courses in their day-to-day work.

Responsibilities as a Decision Scientist:

  • Drive value through analytics - Research, develop, and implement decision science frameworks as a consultant to business units across The Walt Disney Company.

  • Pursue innovation - Conduct research on analytical techniques and translate that research into practical solutions for users and clients.

  • Tell the story - Present science results to business partners and clients.

  • Support a global and enterprise-wide mission - Identify and apply best practices in the field of advanced analytics for multiple lines of business.

Required Qualifications & Skills:

  • Minimum of 1 year of related work experience.

  • Ability to teach concepts on technical subject matter to non-experts in a clear and memorable way.

  • Ability to craft technical slides, animations, and scripts to be used in teaching live or remote audiences.

  • Excellent written and spoken English.

  • Proficient at writing code in at least one programming language like R, Python, Julia, or other programming language.

  • Competence in at least one quantitative field, as indicated by the completion of advanced coursework and original research. Fields include, but are not limited to:

Statistics (two or more topics):

  • Bayesian statistics

  • Generalized linear models

  • Design of Experiments

  • Mixture models

  • Nonparametric regression

  • Structural equation models

  • Time series (state space models, ARIMA, etc.)

Optimization (at least one topic):

  • Decision analysis or multiple criteria decision making

  • Mixed-integer optimization

  • Nonlinear optimization

  • Stochastic optimization

  • Discrete-event simulation and stochastic models

Econometrics/Economics (two or more topics):

  • Difference in differences

  • Instrumental variables

  • Panel data

  • Regression discontinuity design

  • Simultaneous equations models

  • Dynamic stochastic general equilibrium modeling

  • Game Theory

Machine learning (two or more topics):

  • Boosting

  • CART

  • Clustering

  • Graphical models

  • Neural networks

  • Random forests

  • Reinforcement learning

  • Support vector machines

Preferred Qualifications:

  • Experience using advanced analytics to shape highimpact strategic or enterpriselevel decisions, ideally in complex or fastmoving business environments.

  • Expertise in decision theory, system dynamics, industrial organization, or other approaches for understanding and influencing decisions in complex systems.

  • Ability to translate sophisticated analytical methods into clear, actionable insights for leaders and nontechnical partners.

  • Experience developing data science training for business professionals.

Required Education

Master's degree in advanced Mathematics, Statistics, Data Science, or comparable field of study, and/or equivalent work experience

Preferred Education

Ph.D. degree in Statistics, Applied Mathematics, Operations Research, Econometrics, Economics, Machine Learning, or comparable field of study, and/or equivalent work experience

#DisneyTech

#DisneyAnalytics

The hiring range for this position in Lake Buena Vista, FL is $111,900 to $150,000 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job Posting Segment:

Corporate Strategy

Job Posting Primary Business:

Decision Science & Integration

Primary Job Posting Category:

Data Science

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Lake Buena Vista, FL, USA

Alternate City, State, Region, Postal Code:

Date Posted:

2026-02-06

What Walt Disney Company employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Walt Disney logo

About Walt Disney

Sourced by ZipRecruiter

At Disney, we're storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. "We create happiness." That's our motto at Walt Disney Parks and Resorts. And it permeates everything we do. At Disney, you'll help inspire that magic by enabling our teams to push the limits of entertainment and create the never-before-seen!

Industry

Amusement, gambling, and recreation

Company size

10,000+ Employees

Headquarters location

Burbank, CA, US

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