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Department Summary:

Our AI-enhanced Discovery and Decisions department has a need for an Artificial Intelligence Biometrics Engineer with a passion for artificial intelligence (AI) and expertise in biometrics. We are specifically looking for talent in machine learning, and one or more of the following technical areas: biometric identification, deepfake detection, computer vision, image processing, speaker identification, statistical evaluation of biometric systems.

As an Artificial Intelligence Biometrics Engineer, you will have opportunities to work on a wide range of problems, leading and working in interdisciplinary teams. Your experience will allow you to:

• Apply AI and machine learning techniques to biometric and identification systems.

• Design, develop, evaluate, and field AI solutions that inform consequential, mission-critical decisions.

• Assess the adequacy and maturity of existing AI-focused R&D programs and shape their technical and programmatic direction.

• Identify and lead new R&D opportunities to strengthen the nation’s growing artificial intelligence capabilities.

Roles & Responsibilities:

• Work in cross-functional teams to develop and implement AI-enhanced biometrics solutions.

• Apply modern AI and engineering techniques to develop prototypes based on analysis of workflow and operational needs.

• Propose and execute novel, cutting-edge research in Al-enhanced biometrics.

• Evaluate Al solutions against sponsor requirements and produce actionable recommendations.

• Lead projects or small teams to solve complex problems for our sponsors.

Basic Qualifications:

• Requires a minimum of 5 years of related experience with a Bachelor’s degree in computer science or an engineering discipline related to artificial intelligence; or 3 years and a Master’s degree; or a PhD with relevant experience who can immediately contribute.

• Hands-on experience with machine learning (including deep learning), and one or more of the following technical areas: computer vision and image processing, multi-modal large language models, speaker identification/verification technologies.

• Knowledge of and experience with biometrics-specific statistics and analysis.

• Ability to articulate challenges in biometrics R&D and identify gaps.

• A keen interest in learning about and rapidly responding to new problems across a variety of domains.

• Excellent written and verbal communication skills to articulate challenging technical concepts to both lay and expert audiences.

• Ability to work independently to learn new technologies, techniques, processes, languages, platforms, and systems.

• Ability to function as a member of cross-functional teams.

• Experience with programming languages such as C++ and Python.

• Must be able to obtain and maintain a US government clearance (e.g., DoD Secret).

• This position requires a minimum of 50% hybrid on-site.

Preferred Qualifications:

• Experience with multiple biometric identification modalities including fingerprint, face, iris, and speaker identification.

• Experience with biometric capture devices.

• Ability to integrate biometric technologies into operational environments.

• Ability to apply multiple biometric vendor interfaces.

• Understanding of NIST biometric performance objectives and studies.

• Experience with Linux OS and mobile devices.

• Knowledge of distributed computing methods (e.g., RabbitMQ, Zookeeper).

• Knowledge of containerization (e.g.. Docker) and DevOps.

• Active DoD Secret clearance (Top Secret highly preferred)

  This requisition requires the candidate to have a minimum of the following clearance(s):

None

This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):

Secret

Work Location Type:

Hybrid

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