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Remote Neural Engineer Jobs in Florida (NOW HIRING)

BAE Systems

IT Sys Arch Sr Prin

Fort Walton Beach, FL · On-site +1

$85K - $117K/yr

... neural networks. * Participate in BAE Systems citizen developer programs centered around AI and ... Remote About BAE Systems, Inc. BAE Systems, Inc. is a defense, aerospace, and security company ...

Dlapiper

Data Scientist

Miami, FL · On-site +1

... and software engineering. Identifies patterns and looks for opportunities for optimization ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

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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.

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 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.

How much money do remote neural engineers make?

Remote neural engineers typically earn between $80,000 and $150,000 annually, depending on experience, education, and the complexity of projects. Senior professionals with specialized skills in neural signal processing and machine learning can earn higher salaries, especially when working for research institutions or tech companies.

Is remote neural engineering a good career?

Remote neural engineering is a specialized field involving the development of brain-computer interfaces and neural signal processing, often requiring expertise in neuroscience, engineering, and programming. It offers opportunities in research, healthcare, and technology sectors, with a growing demand for skilled professionals due to advances in neurotechnology and remote collaboration tools.

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 job categories do people searching Remote Neural Engineer jobs in Florida look for?

The top searched job categories for Remote 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:

Remote Neural Engineer jobs near you

IT Sys Arch Sr Prin

BAE Systems

Fort Walton Beach, FL • On-site, Remote

$85K - $117K/yr

Other

Re-posted 11 hours ago

BAE Systems rating

8.4

Company rating: 8.4 out of 10

Based on 151 frontline employees who took The Breakroom Quiz

10th of 49 rated military and defense

Job description


BAE Systems Inc is seeking a talented AI/ML Engineer to join our Enterprise Integration team and contribute to enterprise-level complex business solutions. As an AI/ML Engineer at BAE Systems Inc, you will be at the forefront of developing cutting-edge AI and machine learning enterprise-grade solutions to support integration, DBA, and data and analytics opportunities.
We are looking for a skilled AI/ML Engineer with 8+ years of professional experience in building and deploying machine learning algorithms, with a focus on AI/ML and large language models. The successful candidate will be responsible for designing, developing, and deploying robust machine learning algorithms to solve complex business problems. You will work closely with stakeholders to understand business requirements and translate them into actionable solutions.
Responsibilities:
  • Own end-to-end solutions of design, develop, and deploy robust machine-learning algorithms, including large language models.
  • Collaborate with stakeholders to understand business requirements and translate them into actionable solutions.
  • Conduct data discovery and analysis by cleaning, preprocessing, and transforming raw data into usable formats, ensuring data quality and integrity.
  • Produce visualizations and insights with the goal of communication to both technical and non-technical audiences.
  • Develop and train large language models using deep learning techniques, such as transformers and recurrent neural networks.
  • Participate in BAE Systems citizen developer programs centered around AI and become a resource for the system admin and integration services team.
  • Work closely with the existing AI/ML team at BAE Systems to leverage their expertise, share knowledge, and drive innovation in AI/ML solutions.

Required Skills and Education
Education:
  • 8+ years of professional experience as an AI/ML Engineer, with a focus on generative AI and machine learning.
  • Bachelor's degree in a related field or equivalent combination of education and work experience.
  • Excellent communication and presentation skills.
  • Experince with canonical standards.
  • Strong understanding of large language models (LLMs) and their applications in AI.
  • Experience with Agent + RAG system and its application in data science and AI.
  • Proficiency in Python/R programming languages and popular machine learning libraries such as langchain, scikit-learn, TensorFlow, and PyTorch.
  • Experience with data visualization tools such as Tableau, Power BI, and others.
  • Familiarity with cloud-based services and solutions such as AWS, Azure, and Dataiku.
  • Experience with data mapping and modeling is a plus.
  • Graph experience is required, including graph databases, graph algorithms, and graph-based data analysis.

Preferred Skills and Education
Preferred Education
  • Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field
  • Experience working with large datasets and high-performance computing environments.
  • Strong understanding of data modeling, statistical inference, and machine learning techniques.
  • Experience with Docker and containerization
  • Familiarity with DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines
  • Experience with cloud-based data warehousing and big data processing (e.g., AWS Glue, Apache Spark)
    #LI-DM2
    #LI-Remote

About BAE Systems, Inc.
BAE Systems, Inc. is a defense, aerospace, and security company headquartered in Falls Church, Virginia, with more than 40,000 employees worldwide. We serve, supply, and protect those who protect us. As one of the most geographically diverse international defense companies, we deliver a full range of products and services spanning air, land, maritime, space, and cyber, including advanced electronics, intelligence solutions, and dedicated customer support.
Our culture is performance-driven and values-led, built on curiosity, creativity, and collaboration. Purpose isn't a tagline here. It's what drives us. We're developing breakthrough technologies that defend national security and make a lasting impact on our communities and our planet. When you join BAE Systems, you're not just building a career. You're contributing to a mission that truly matters.
This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.

What BAE Systems employees say

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Benefits

Hours and flexibility

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About BAE Systems

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At BAE Systems, we provide some of the world's most advanced, technology-led defence, aerospace and security solutions. We employ a skilled workforce of more than 93,000 in around 40 countries. Working with customers and local partners, we develop, engineer, manufacture, and support products and systems to deliver military capability, protect national security and people, and keep critical information and infrastructure secure.

Industry

National security and international affairs and it services

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US

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