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Eeg Neural Signal Processing Jobs in Virginia (NOW HIRING)

AI and ML Software Engineer

Mclean, VA · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Experience with RF theory or digital signal processing algorithms * Experience with different neural network architectures * Experience acquiring client requirements and resolving workflow problems ...

AI and ML Software Engineer

Mclean, VA · On-site

$99 - $225/hr

  • Medical

  • Life

  • Retirement

  • PTO

Experience with RF theory or digital signal processing algorithms * Experience with different neural network architectures * Experience acquiring client requirements and resolving workflow problems ...

Software Engineer, Senior

Mclean, VA · On-site

$124K - $163K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... neural network training pipelines, automation tools, and algorithm development in support of ... Experience with sensor data, scientific data, signal processing, image processing, simulation ...

Software and Algorithm Developer

Fredericksburg, VA · On-site

$103K - $181K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with Algorithm and AI development, including Machine Learning (ML), Convolutional Neural ... Experience with acoustic signal processing and analysis techniques. * Experience using Visual ...

Sr AI/ML Engineer

Herndon, VA

$107K - $147K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop signal processing, perception, and planning pipelines supporting MPC control loops. * Use ... Demonstrated ability to design and optimize generative AI models (e.g., transformers) and neural ...

Showing results 21-30

Eeg Neural Signal Processing information

What are some common challenges faced when processing EEG neural signals, and how can professionals address them in their daily work?

One of the main challenges in EEG neural signal processing is dealing with noise and artifacts, such as those caused by eye movements or muscle activity, which can obscure the true neural signals. Professionals often use specialized filtering techniques and artifact rejection algorithms to clean the data before analysis. Additionally, interpreting the complex and high-dimensional EEG data requires a solid understanding of both neuroscience and advanced signal processing methods. Collaborating closely with neuroscientists, clinicians, and software engineers is crucial for refining analysis pipelines and ensuring meaningful results.

What is EEG neural signal processing?

EEG neural signal processing refers to the analysis and interpretation of electrical activity in the brain as recorded by electroencephalography (EEG). This process involves filtering, amplifying, and extracting meaningful features from the raw EEG signals to study brain function, diagnose neurological disorders, or develop brain-computer interfaces. Researchers and clinicians use various computational techniques to separate noise from actual brain signals, enabling a better understanding of brain activity and aiding in medical or research applications.

What are the key skills and qualifications needed to thrive as an EEG neural signal processing specialist?

To thrive as an EEG Neural Signal Processing specialist, you need a solid background in neuroscience, signal processing, and programming, typically supported by a degree in biomedical engineering, neuroscience, or related fields. Familiarity with technical tools such as MATLAB, Python, EEGLAB, and experience with EEG acquisition systems are essential. Strong analytical thinking, problem-solving skills, and clear communication help you interpret complex data and collaborate with interdisciplinary teams. These skills are crucial for accurately analyzing neural signals, advancing research, and ensuring reliable outcomes in clinical or research settings.

What is the difference between Eeg Neural Signal Processing vs Neurophysiologist?

AspectEeg Neural Signal ProcessingNeurophysiologist
Required CredentialsTypically requires a degree in neuroscience, biomedical engineering, or related fields; certifications in signal processing are a plusRequires advanced degrees (PhD or MD), specialized training in neurophysiology, and often board certification
Work EnvironmentResearch labs, hospitals, or tech companies focusing on brain signal analysisHospitals, clinics, research institutions conducting neurological assessments
Industry UsagePrimarily in research, medical device development, and data analysisClinical diagnosis, patient care, and neurological research

While Eeg Neural Signal Processing focuses on analyzing brain signals using signal processing techniques, Neurophysiologists perform clinical assessments and interpret neurological data. Both roles require a strong background in neuroscience, but neurophysiologists typically have more clinical responsibilities and advanced medical credentials.

What job categories do people searching Eeg Neural Signal Processing jobs in Virginia look for?

The top searched job categories for Eeg Neural Signal Processing jobs in Virginia are:

What cities in Virginia are hiring for Eeg Neural Signal Processing jobs?

Cities in Virginia with the most Eeg Neural Signal Processing job openings:

AI and ML Software Engineer

Booz Allen Hamilton, Inc.

Mclean, VA • On-site

$99K - $225K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 16 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


Job description

AI and ML Software Engineer
The Opportunity:
Specialize in tools, techniques, systems, and procedures for developing, deploying, or analyzing wired or wireless transmission of signaling data using Artificial Intelligence and Machine Learning (AI/ML) techniques. Apply specific functional knowledge, including working or general industry knowledge. Develop or contribute to solutions to a variety of problems of moderate scope and complexity. Work independently with some guidance, and review or guide activities of more junior employees.
You Have:
  • 3+ years of experience with ML software libraries such as TensorFlow, Keras, PyTorch, or Onnx
  • 3+ years of experience in software development using programming languages such as Python, C, or C++
  • Experience implementing, maintaining, and supporting Agile software development to modernize systems
  • Experience with Agile methodology, software engineering, product management, and software products
  • Experience running performance testing and benchmarking of trained neural networks, and optimizing algorithm performance
  • Experience creating solutions to complex problems within a collaborative, cross-functional team
  • Ability to obtain a TS/SCI clearance with a polygraph
  • Bachelor's degree in a STEM field

Nice If You Have:
  • Experience with RF theory or digital signal processing algorithms
  • Experience with different neural network architectures
  • Experience acquiring client requirements and resolving workflow problems through automation optimization
  • Ability to work with automated testing tools to perform testing and maintenance
  • TS/SCI clearance with a polygraph
  • Master's degree in a STEM field

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914