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Neural Engineer Jobs in Virginia (NOW HIRING)

Riverside Research

Software Engineer

Centreville, VA

Work with developers to design algorithms and flowcharts. Troubleshoot, debug and upgrade existing ... Familiarity with machine learning algorithms and tools such as naïve-bayes, decision trees, neural ...

TheIncLab

Senior Machine Learning Engineer

Mclean, VA · On-site

$105K - $145K/yr

Neural networks, decision trees, ensemble methods * Transformer-based models, adversarial networks ... Feature engineering and preprocessing * Data augmentation strategies for training robustness

Apply Early

TheIncLab

Senior Machine Learning Engineer

Mclean, VA · On-site

$105K - $145K/yr

Neural networks, decision trees, ensemble methods * Transformer-based models, adversarial networks ... Feature engineering and preprocessing * Data augmentation strategies for training robustness

Booz Allen Hamilton, Inc.

AI/ML Engineer

Arlington, VA · On-site

$77K - $176K/yr

As an machine learning engineer, you understand good software is more than just a good user ... Experience with project work in deep learning, computer vision, neural networks, NLP, or signal ...

TheIncLab

Senior Machine Learning Engineer

Mclean, VA

$105K - $145K/yr

Neural networks, decision trees, ensemble methods * Transformer-based models, adversarial networks ... Feature engineering and preprocessing * Data augmentation strategies for training robustness

Booz Allen Hamilton

AI/ML Engineer

Arlington, VA · On-site

$77K - $176K/yr

Job Number: R0242971 AI/ML Engineer The Opportunity: As an machine learning engineer, you ... Experience with project work in deep learning, computer vision, neural networks, NLP, or signal ...

Booz Allen Hamilton

AI/ML Engineer

Arlington, VA

$77K - $176K/yr

AI/ML Engineer The Opportunity: As an machine learning engineer, you understand goodsoftware is ... Experience with project work in deep learning, computer vision, neural networks, NLP, or signal ...

Booz Allen Hamilton, Inc.

AI/ML Engineer

Arlington, VA · On-site

$77K - $176K/yr

AI/ML Engineer The Opportunity: As an machine learning engineer, you understand good software is ... Experience with project work in deep learning, computer vision, neural networks, NLP, or signal ...

Purple Drive

Enterprise Architect

Mclean, VA · On-site

$70.75 - $91.25/hr

Proficient in prompt engineering (Zero, One, few shot prompting, Chain of Thought) and prompt design. * Understand deep learning concepts, autoencoders optimization, convolutional neural networks ...

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Neural Engineer information

See Virginia salary details

$59K

$110.7K

$201.3K

How much do neural engineer jobs pay per year?

As of Jun 30, 2026, the average yearly pay for neural engineer in Virginia is $110,674.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,800.00 and $131,400.00 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 work in healthcare, biotech, or academic settings, applying skills in signal processing, neuroscience, and engineering design to develop innovative solutions for neurological disorders and brain-machine communication.

What does a neural engineer do?

A neural engineer designs and develops technologies to interface with the nervous system, such as brain-computer interfaces, neural implants, and signal processing algorithms. They often work with neuroscience, biomedical engineering, and programming tools to create solutions for medical, research, or prosthetic applications.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High-paying engineering positions often require advanced degrees, certifications, and expertise in high-demand areas or management responsibilities.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often involves bonuses, stock options, or profit sharing, particularly in technology and energy sectors.

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.

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 in the Neural Engineer position, and why are they important?

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 are the most commonly searched types of Neural Engineer jobs in Virginia? The most popular types of Neural Engineer jobs in Virginia are:
What are popular job titles related to Neural Engineer jobs in Virginia? For Neural Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Neural Engineer jobs in Virginia look for? The top searched job categories for Neural Engineer jobs in Virginia are:
Neural Engineer jobs near you

Machine Learning Engineer- Senior with Security Clearance

SOSi

Chantilly, VA • On-site

$118K - $162K/yr

Other

Posted 5 days ago

Key responsibilities

  • Leverage data science and machine learning processes to answer mission challenges.

  • Develop and iterate rapid prototype solutions, leveraging open-source models and technologies where possible.

  • Effectively communicate technical concepts and deliver results to non-technical leadership and stakeholders.

Job description

Company Description Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide. Job Description Overview SOSi is seeking a skilled Machine Learning Engineer to support a US government customer in Chantilly, VA. In this job you will work with other talented data scientists, software developers, and SMEs to apply the best practices and state of the art data science and machine learning processes. This role requires the ability to solve complex problems independently and collaboratively in a dynamic work environment. Strong communication skills are essential for translating technical concepts to non-technical stakeholders and delivering actionable insights. Essential Job Duties * Leverage data science and machine learning processes to answer mission challenges.
* Develop and iterate rapid prototype solutions, leveraging open-source models and technologies where possible
* Flexibility to support topics such as object detection, data triage, search/optimization, image/video analysis, facial recognition, behavior detection, and automated discovery. * Apply excellent problem-solving skills to address technical challenges, both independently and as part of a team in a fast-paced environment.
* Comprehend project requirements and execute tasks accordingly, ensuring alignment with project goals and timelines.
* Effectively communicate technical concepts and deliver results to non-technical leadership and stakeholders, facilitating informed decision-making. Qualifications Minimum Requirements * Existing TS/SCI (with poly). This security clearance requires U.S. citizenship. Candidates will not be nominated for new clearances.
* Minimum 5 years of experience in a data science/engineer role.
* Experience developing and using agentic AI frameworks including Autogen. * Experience with prompt engineering beyond traditional code writing and debugging. Understanding of how to craft prompts for discrete tasks such as data labeling and processing. * Experience with asynchronous Python development using frameworks like Ray and FastAPI. * Experience developing and deploying AI/ML models as part of production systems, implementing software development best practices for scalability and reliability. * Experience developing and applying advanced machine learning methods including clustering, regression, optimization, recommender engines, and artificial neural networks. * Deploying models into multi-node Ray clusters utilizing various GPU resources. * Experience with developing and deploying resources to cloud environments. * Experience working in Linux and Windows environments and managing resources for efficiency. * Demonstrated ETL expertise.
Preferred Qualifications * Bachelor's degree in Data Science, Statistics, Computer Science, or a related field; OR equivalent experience.
* Experience in the US Intelligence Community. Additional Information Work Environment * Office setting with a combination of desk work and meetings.
Working at SOSi All interested individuals will receive consideration and will not be discriminated against for any reason.

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