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Remote Neural Engineer Jobs in Florida (NOW HIRING)

Remote Reference ID: JN -052026-107129 Date Posted: 05/26/2026 Shortcut: * Description ... Design and develop predictive models using regression, classification, clustering, and neural ...

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 AI/ML engineers with extensive experience, advanced skills in deep learning, and specialized knowledge in neural interfaces can earn $300,000 or more annually. These roles often require advanced degrees, certifications, and work in high-demand industries such as biotechnology, aerospace, or tech giants. Compensation varies based on location, company size, and individual expertise.

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 leadership roles. Compensation often includes base salary, bonuses, and stock options, particularly in tech companies or startups focused on neural interfaces and AI development.

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.

What is the salary of a neuroengineer?

The salary of a remote neural engineer typically ranges from $80,000 to $150,000 annually, depending on experience, education, and the complexity of projects. Advanced skills in neural signal processing, machine learning, and experience with neurotechnology tools can influence compensation levels.

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.
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 cities in Florida are hiring for Remote Neural Engineer jobs? Cities in Florida with the most Remote Neural Engineer job openings:
Senior AI/ML Engineer

Senior AI/ML Engineer

Eliassen Group

Tallahassee, FL • Remote

$90 - $100/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 11 days ago


Job description

Senior AI/ML Engineer

Anywhere

Type: Contract-to-Hire

Category: Development

Industry: Government

Workplace Type: Remote

Reference ID: JN -052026-107129

Date Posted: 05/26/2026

Shortcut: http://careers.eliassen.com/YsQ2uG

  • Description

  • Recommended Jobs

Description:

Remote

Our client seeks a Senior AI/ML Engineer to design and deliver cloud-native machine learning solutions on AWS. The role includes LLM orchestration, RAG pipelines, vector database integration, and multi-agent systems. The engineer will build predictive models, apply document AI with transformers, and integrate models into secure production workflows. Collaboration with product managers, architects, and cross-functional teams will ensure solutions align with business goals. This position requires availability for meetings during Eastern Time business hours.

Due to federal security clearance requirements, applicant must be a United States Citizen or Permanent Resident with an active Public Trust clearance. This is a contract to hire opportunity. Applicants must be willing and able to work on a w2 basis and convert to FTE following contract duration. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $90.00 to $100.00/hr. w2

JN -052026-107129

Responsibilities:

  • Engineer AI solutions using LLM providers and implement complex multi-agent workflows.

  • Design and develop predictive models using regression, classification, clustering, and neural networks.

  • Build RAG pipelines, integrate vector databases, and apply prompt engineering with LangChain or LangGraph.

  • Develop end-to-end AI/ML/NLP plans compliant with cybersecurity policies.

  • Apply software engineering best practices for maintainable, efficient, reliable, and secure code.

  • Identify and resolve performance bottlenecks and security vulnerabilities.

  • Implement CI/CD using Terraform, GitLab, and GitLab Runner with automated testing and security scans.

  • Support production deployments, smoke testing, monitoring, root cause analysis, and issue resolution.

  • Collaborate in Agile ceremonies, estimate work, and participate in reviews, demos, and retrospectives.

Experience Requirements:

  • 10+ years in Software or IT with 7+ years in data analysis, AI engineering, and machine learning engineering.

  • Hands-on experience with LLM orchestration, integration, and vLLM-based inference for document understanding.

  • Experience with multi-agent AI systems, RAG pipelines, vector databases, and prompt engineering.

  • Strong Python skills with TensorFlow and PyTorch.

  • Proven AWS expertise including Bedrock, Lambda, ECS, SQS, SNS; additional experience with S3, ELB/ALB, Aurora RDS preferred.

  • Experience with image transformer models for document image understanding, including Microsoft DiT.

  • Experience with self-supervised learning and leveraging pre-trained transformer backbones for document AI tasks.

  • Integration of transformers into OCR pipelines and collaboration with OCR technologies.

  • OpenCV-based image processing for document analysis.

  • CI/CD with Terraform, GitLab, and GitLab Runner.

  • Nice to have: Java, Spring Boot, Spring/JPA, Hibernate/MyBatis, JBoss/Fuse Camel/AMQ, SQL, Oracle, REST services.

  • Familiarity with AI coding tools such as Claude and Codex.

  • Strong problem solving and communication skills with ability to work independently.

  • AWS certification required such as Solutions Architect Associate, Developer Associate, Machine Learning Engineer Associate, SysOps Admin Associate, or Cloud Practitioner.

  • Public Trust eligibility and awareness of 3 to 6 week clearance timeline, including fingerprinting. Must have been a U.S. permanent resident for at least the last 2 years.

Education Requirements:

  • BA/BS in Computer Science, Machine Learning, or related field with 10 years of experience, or MA/MS or higher with 8 years of experience.

  • Additional experience does not substitute for the education requirement.

Recruitment Transparency Notice

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team ( noreply@eliassen.com , 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process.

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.

If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:

· When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.

· Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.

If you have any indication of fraudulent activity, please contact fraud@eliassen.com .

About Eliassen Group:

Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.

Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.

Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!


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About Eliassen Group

Sourced by ZipRecruiter

Eliassen Group provides strategic consulting and talent solutions to drive our clients' innovation and business results. Our purpose is to positively impact the lives of our employees, clients, consultants, and the communities in which we operate. Leveraging over 30 years of success, our expertise in talent solutions, life sciences consulting, Agile consulting, cloud services, risk management, business optimization, and managed services enables us to partner with our clients to execute their business strategy and scale effectively. Headquartered in Reading, MA, and with offices from coast to coast, Eliassen Group offers local community presence and deep networks, as well as national reach.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Reading, MA, US

Year founded

1989