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Neural Engineer Jobs in Alabama (NOW HIRING)

Excellent office, programming, and communication skills are essential. SPARC offers GPU/HPC ... Deep proficiency with modern machine learning, including deep learning, transformers, graph neural ...

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 ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

Proficient in Python programming language (scikit-learn, pandas, numpy, scipy, etc.). * Proficiency ... neural networks. * Prior experience working with AWS is a plus. * Some experience with natural ...

Showing results 21-28

Neural Engineer information

See Alabama salary details

$53.9K

$101.2K

$184K

How much do neural engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for neural engineer in Alabama is $101,182.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,000.00 and $120,100.00 per year, depending on experience, location, and employer.

What jobs can you do with neural engineering?

Neural engineers can work in research and development roles focused on brain-computer interfaces, neural prosthetics, and neurotechnology devices. They often find employment in healthcare, biotech, and academic settings, applying skills in signal processing, neuroscience, and engineering design to develop innovative solutions for neurological disorders and cognitive enhancement.

What types of projects and collaborations can a neural engineer expect to be involved in?

As a Neural Engineer, you may work on projects ranging from designing brain-computer interfaces and neural prosthetics to analyzing complex neural signals for clinical or research applications. Collaboration with neuroscientists, clinicians, software developers, and hardware engineers is common, ensuring a multidisciplinary approach to solving neurological challenges. Your daily responsibilities might include data analysis, prototyping, testing devices, and presenting findings to your team. This role offers opportunities to influence cutting-edge research and directly contribute to advancements in healthcare and neurotechnology.

How much do neural engineers make?

Neural engineers typically earn a median annual salary of around $90,000 to $120,000, depending on experience, education, and location. Advanced skills in neuroscience, biomedical engineering, and programming can lead to higher compensation, especially in research or industry roles.

What does a neural engineer do?

A Neural Engineer applies principles from neuroscience, engineering, and computer science to develop technologies that interface with the nervous system. This includes designing brain-computer interfaces, neuroprosthetics, and medical devices for treating neurological disorders. They work with signal processing, machine learning, and biomedical hardware to understand and manipulate neural activity. Their work has applications in healthcare, rehabilitation, and human augmentation.

What are the key skills and qualifications needed to thrive as a neural engineer?

To thrive as a Neural Engineer, you need a strong background in biomedical engineering, neuroscience, and signal processing, often supported by an advanced degree in a related field. Proficiency with tools like MATLAB, Python, neural data acquisition systems, and familiarity with medical device regulations or certifications are commonly required. Problem-solving abilities, interdisciplinary teamwork, and effective communication set standout candidates apart. These skills and qualities are crucial for innovating and safely developing neural devices and technologies that bridge engineering and neuroscience.

What job categories do people searching Neural Engineer jobs in Alabama look for? The top searched job categories for Neural Engineer jobs in Alabama are:
Infographic showing various Neural Engineer job openings in Alabama as of July 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $101,182 per year, or $48.6 per hour.

1994 Cleared AI/ML Specialist (Top Secret) with Security Clearance

All Points Logistics LLC

Huntsville, AL • On-site

$16 - $21.25/hr

Other

Re-posted 26 days ago


Job description

*US CITIZENSHIP REQUIRED*
*ACTIVE US DOD TOP SECRET CLEARANCE REQUIRED*
*CONTINGENT UPON CONTRACT AWARD* DESCRIPTION OF POSITION/DUTIES:
*** This is a contingent hire based upon contract award. No Staffing Agencies or third parties *** The All Points Systems Engineering and Integration Team is seeking a US DoD Top Secret Cleared Artificial Intelligence/Machine Learning (AI/ML) Specialist to support the design, guidance, and implementation of AI/ML-enabled capabilities for missile defense mission areas. The successful candidate will contribute across multiple phases of the mission lifecycle, supporting analytical, modeling, simulation, and decision-support activities related to detection, tracking, discrimination, fire control, and engagement functions within a complex system-of-systems environment. This position is contingent upon contract award and continued program funding. Employment offers may be extended prior to award; however, start dates and work assignments are subject to contractual authorization. The AI/ML Specialist will collaborate with systems engineers, domain experts, and software developers to identify appropriate problem formulations and opportunities for the application of AI/ML techniques. Responsibilities include developing and curating training and evaluation datasets from diverse sources, defining data management and labeling strategies, and designing scalable training, testing, and validation infrastructure consistent with program constraints and security requirements. The AI/ML Specialist will collaborate with systems engineers, domain experts, and software developers to identify appropriate problem formulations and opportunities for the application of AI/ML techniques. Responsibilities include developing and curating training and evaluation datasets from diverse sources, defining data management and labeling strategies, and designing scalable training, testing, and validation infrastructure consistent with program constraints and security requirements.
The candidate will be responsible for guiding the selection, development, and integration of AI/ML models into existing analytical, modeling, and simulation frameworks, ensuring alignment with system architectures, interfaces, and performance objectives. This includes supporting model evaluation, uncertainty characterization, robustness assessments, and lifecycle considerations such as retraining, configuration management, and traceability. The AI/ML Specialist will also contribute to the establishment of best practices, standards, and governance for AI/ML usage, including documentation, verification and validation approaches, and coordination with broader digital engineering and systems engineering processes. Emphasis will be placed on explainability, testability, and integration within mission-relevant workflows, while maintaining compliance with applicable policies, security requirements, and program constraints. The AI/ML Specialist will provide guidance and subject matter expertise to the Digital Ecosystem and Platforms team for the SE&I Team's AI adoption strategy. Key tasks include identification, evaluation, and integration of Large Language Model(s), as well as use case specific AI tooling such as SysML modeling and Integrated Development Environment (IDE) plug-ins. EDUCATION: * Bachelor's degree in Engineering, Computer Science, Applied Mathematics, Physics, or related discipline; Master's degree or PhD strongly preferred YEARS OF EXPERIENCE: * 10-20 Years SKILLS/CERTIFICATIONS: Required Qualifications: * Full US Citizenship * Active, current, and fully adjudicated US Department of Defense Top Secret Clearance required * Demonstrated experience applying multiple Artificial Intelligence and/or Machine Learning techniques (e.g., artificial neural networks, Bayesian belief networks, decision trees) to complex technical or analytical problems. * Experience working with data-centric workflows, including data preparation, curation, labeling, and quality assessment for analytical or modeling purposes. * Familiarity with the full AI/ML lifecycle, including model development, training, testing, validation, and iterative improvement. * Experience collaborating with multidisciplinary teams, including systems engineering, software development, and domain subject matter experts. * Ability to translate high-level mission or system objectives into well-defined analytical or computational problem statements. * Experience documenting technical approaches, assumptions, and results in a clear and structured manner suitable for engineering and programmatic review. * Understanding of basic software engineering practices, including version control, modular design, and reproducibility. * Ability to work within established program constraints, including security, configuration management, and governance processes. Desired Qualifications: * Experience applying AI/ML techniques within complex, distributed, or system-of-systems environments. * Familiarity with modeling and simulation, digital engineering, or analytical frameworks used to support system design, assessment, or decision support. * Experience with scalable training, testing, or evaluation infrastructure, including compute resource management and automation. * Exposure to uncertainty quantification, robustness analysis, model verification and validation, or performance assessment methodologies. * Experience supporting data governance, model traceability, or lifecycle management in regulated or mission-critical environments. * Familiarity with explainable AI concepts or techniques and their application in engineering or decision-support contexts. * Experience working in government, defense, aerospace, or other highly regulated technical domains. * Ability to communicate technical concepts effectively to both technical and non-technical stakeholders. * Experience supporting transition of analytical or AI/ML capabilities from development environments into operationally relevant workflows. * Familiarity with hardware, programming languages, scientific computing environments, and resource management tools commonly used for data analysis and modeling to include graphical processing units (GPUs), Python / MATLAB / SQL, High Performance Computing (HPC) clusters and SLURM. SECURITY CLEARANCE: * Full United States Citizenship is required. * Active, current, and fully adjudicated US DoD Top Secret Clearance with SCI eligibility is required. Unfortunately, candidates that do not have a TS Clearance are not eligible. Positions with All Points are Full-time, Direct, and we offer a full benefit package. For more information, please visit https://www.allpointsllc.com/careers/ ALL POINTS IS AN EQUAL OPPORTUNITY EMPLOYER *** This is a contingent hire based upon contract award. ***