Eeg Neural Signal Processing Jobs in Silver Spring, MD

Job Number: R0245492

AI and ML Software Engineer

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.

• 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

• 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

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information

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.

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.

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.

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.

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.