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Neural Engineer Jobs in Virginia (NOW HIRING)

SOSi

Machine Learning Engineer- Senior

Chantilly, VA · On-site

$125K - $165K/yr

Overview SOSi is seeking a skilled Machine Learning Engineer to support a US government customer in ... neural networks. * Deploying models into multi-node Ray clusters utilizing various GPU resources.

SOSi

Machine Learning Engineer- Senior

Chantilly, VA · On-site

$125K - $165K/yr

Overview SOSi is seeking a skilled Machine Learning Engineer to support a US government customer in ... neural networks. * Deploying models into multi-node Ray clusters utilizing various GPU resources.

Virginia Tech

Postdoctoral Associate

Blacksburg, VA · On-site

Proficiency in spike train analysis and neural decoding methods. Advanced programming skills in MATLAB, Python, or R. Experience with surgical procedures and in vivo recording techniques (e.g ...

ASSYST, Inc.

Software Developer

Sterling, VA · Remote

Expertise in computer architecture and design, software engineering concepts, and AI/ML application ... Proficiency in data science, deep learning, and neural networks. * Ability to travel to local ...

Bart & Associates

AI-ML Developer

Ashburn, VA · On-site

AI-ML Developer: At B&A, we foster and embrace a distinct set of values that we live by and instill ... Solid understanding of deep learning architectures such as CNNs (Convolutional Neural Networks ...

Riverside Research

Software Engineer

Centreville, VA · On-site

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 ...

B&A

AI-ML Developer

Ashburn, VA · On-site +1

Description AI-ML Developer: At B&A, we foster and embrace a distinct set of values that we live by ... Solid understanding of deep learning architectures such as CNNs (Convolutional Neural Networks ...

MetroStar

Sr. AI/ML Engineer II (6707)

Reston, VA · On-site

$212K - $248K/yr

As Sr. AI/ML Engineer III , you'll support a large data project alongside an agile team of ... Generative AI/LLMs, NLP, RAG, and neural networks. * At least 8 years experience with at least two ...

MetroStar

Sr. AI/ML Engineer II (6707)

Herndon, VA

$212K - $248K/yr

As Sr. AI/ML Engineer III , you'll support a large data project alongside an agile team of ... Generative AI/LLMs, NLP, RAG, and neural networks. * At least 8 years experience with at least two ...

MetroStar

Sr. AI/ML Engineer II (6707)

Tysons Corner, VA · On-site

$212K - $248K/yr

As Sr. AI/ML Engineer III , you'll support a large data project alongside an agile team of ... Generative AI/LLMs, NLP, RAG, and neural networks. * At least 8 years experience with at least two ...

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

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

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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 Aug 10, 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 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 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
Infographic showing various Neural Engineer job openings in Virginia as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $110,674 per year, or $53.2 per hour.

Machine Learning Engineer- Senior

SOSi

Chantilly, VA • On-site

$125K - $165K/yr

Full-time

Re-posted 23 days ago

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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