1

Face Recognition Jobs in Virginia (NOW HIRING)

... recognition systems (face, iris, fingerprint) and integrate with predictive modeling pipelines for risk scoring and anomaly detection.+ Lead the integration and successful deployment of trained ...

New

Sales Full-Time

Alexandria, VA · On-site

$12.50/hr

Employee Rewards & Recognition Program * Free Wellness, Sunless & Sunbed Tanning * Incentives ... Responsibilities * Use your influencer skills daily face-to-face * Maintain a clean, organized ...

... recognized by multiple esteemed national rating entities. Through its subsidiaries, UHS operates ... Provides telephonic or face-to-face mental health crisis triage, assessment, intervention and ...

... and recognition • Competitive, team-driven culture What You'll Do This is a retail-based solar ... Build rapport and trust through face-to-face interaction • Represent Solar Pros with ...

... bonuses, and recognition Competitive, team-driven culture What You'll Do This is a retail-based ... face interaction Represent Solar Pros with professionalism and confidence Who We're Looking For We ...

... and recognition • Competitive, team-driven culture What You'll Do This is a retail-based solar ... Build rapport and trust through face-to-face interaction • Represent Solar Pros with ...

... bonuses, and recognition Competitive, team-driven culture What You'll Do This is a retail-based ... face interaction Represent Solar Pros with professionalism and confidence Who We're Looking For We ...

next page

Showing results 1-20

Face Recognition information

What is a face recognition job?

A Face Recognition job typically involves working with facial recognition technology to develop, improve, or implement systems that can identify or verify individuals based on their facial features. Professionals in this field may work on machine learning models, data collection, algorithm optimization, or security applications. These roles are common in industries like security, law enforcement, biometrics, and artificial intelligence research. Skills in computer vision, deep learning, and data analysis are often required.

What are the key skills and qualifications needed to thrive in a face recognition position, and why are they important?

To excel in a Face Recognition role, you need strong expertise in computer vision, machine learning, and data analysis, typically supported by a degree in computer science, engineering, or a related field. Familiarity with tools like Python, OpenCV, TensorFlow, and relevant certifications in AI or deep learning are highly beneficial. Strong problem-solving abilities, attention to detail, and effective collaboration make candidates stand out. These capabilities are vital for developing accurate, reliable face recognition solutions and ensuring their integration within larger security or authentication systems.

What are some typical challenges faced by professionals working in face recognition roles?

Professionals in face recognition roles often encounter challenges such as ensuring high accuracy with diverse datasets, addressing privacy concerns, and minimizing biases in algorithms. They must continually adapt to evolving regulations, stay updated with state-of-the-art models, and optimize systems for efficiency and scalability. Collaborating with multidisciplinary teams—including software developers, data scientists, and product managers—is common to align technical solutions with real-world applications. These challenges make the role dynamic, demanding, and rewarding for those passionate about advancing technology responsibly.

What are the most commonly searched types of Face Recognition jobs in Virginia?

The most popular types of Face Recognition jobs in Virginia are:

What are popular job titles related to Face Recognition jobs in Virginia?

For Face Recognition jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Face Recognition jobs in Virginia look for?

The top searched job categories for Face Recognition jobs in Virginia are:

Infographic showing various Face Recognition job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 61% Physical, 1% Hybrid, and 38% Remote job distribution.

Senior Computer Vision Engineer

AIToolboard

Ashburn, VA • On-site

$140 - $190/hr

Other

Posted 3 days ago

New


Key responsibilities

  • Design, develop, and implement computer vision algorithms and software using Python and relevant libraries.

  • Apply deep learning techniques for object detection, segmentation, tracking, and recognition using frameworks like TensorFlow or PyTorch.

  • Lead the integration and deployment of trained models into production environments, optimizing for real-time inference and large-scale data processing.


Job description

# Senior Computer Vision EngineerManTechAshburn, USFull-time## About the RoleMANTECH seeks a motivated, career and customer-oriented Senior Computer Vision Engineer to join our AI innovation team in Ashburn, VA. This is currently a hybrid position with two days onsite and three days remote.Each day U.S. Customs and Border Protection (CBP) oversees the massive flow of people, capital, and products that enter and depart the United States via air, land, sea, and cyberspace. The volume and complexity of both physical and virtual border crossings require the application of solutions to aid officers in detecting threats while promoting efficient trade and travel.Responsibilities include but are not limited to:+ Design, develop, and implement highly efficient computer vision algorithms and software primarily using Python and relevant libraries (e.g., OpenCV, NumPy, scikit-image).+ Apply deep learning techniques (e.g., CNNs, RNNs, Transformers) for object detection, segmentation, tracking, and recognition using frameworks like TensorFlow or PyTorch.+ Perform comprehensive image preprocessing and augmentation on large datasets of both 2D (standard images/video/X-rays) and 3D (e.g., volumetric data) data.+ Develop and optimize biometric recognition systems (face, iris, fingerprint) and integrate with predictive modeling pipelines for risk scoring and anomaly detection.+ Lead the integration and successful deployment of trained models into production environments (e.g., cloud, edge devices). Develop and optimize models for real-time inference and efficiently handle large-scale data processing pipelines.+ Research, evaluate, and benchmark new computer vision technologies and academic advancements to maintain a competitive edge.+ Collaborate with cross-functional teams (e.g., Software Engineering, Data Science) to integrate vision systems into final products.Minimum Qualifications:+ HS Diploma/GED and 15-20 years, AS/AA and 13-18 years, BS/BA and 7+ years or MS/MA/MBA and 5+ years or PhD/Doctorate and 3+ years.+ Expertise with deep learning frameworks (PyTorch, TensorFlow, Keras) and computer vision libraries (OpenCV, SimpleITK, ITKm VTK).+ Demonstrated ability in image preprocessing techniques, including filtering, noise reduction, feature extraction, and handling various image formats.+ Hands-on experience with productionizing models, including optimizing for inference speed, containerization (e.g., Docker), and cloud deployment platforms (e.g., AWS, Azure, GCP).+ Proven track record with 2D/3D imaging analysis: reconstruction segmentation, detection, and volumetric modeling.+ Proficiency in Python and C++, with strong understanding of high-performance computing and GPU acceleration.+ Experience with biometric recognition algorithms and predictive analytics pipelines.Preferred Qualifications:+ Experience with X-ray CT reconstruction algorithms, 3D-point cloud analysis and multimodal data fusion.+ Experience with GPU-based infrastructure and performance optimization+ Experience with MLOps principles and tools for automated model training, testing, and deployment.+ Knowledge of specific computer vision application areas such as robotics, augmented reality (AR), or industrial inspection.+ Familiarity with various camera technologies and sensor data acquisition.Clearance Requirements:+ Must be a U.S. Citizen and be able to obtain and maintain a CBP suitability.Physical Requirements:+ The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, which may involve delivering presentations.MANTECH International Corporation considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.If you need a reasonable accommodation to apply for a position with MANTECH, please email us at careers@mantech.com and provide your name and contact information.Skills:3D Modeling, Accounts Receivable, Algorithms, Amazon Web Services (AWS), Analysis Skills, Artificial Intelligence (AI), Benchmarking, Business Administration, C++ Programming Language, Cloud Computing, Computer Vision, Cross-Functional, Customer Relations, Cyberspace, Data Fusion, Data Management, Data Processing, Data Science, Data Sets, Deep Learning, Docker, Face Recognition, GCP (Good Clinical Practices), GPU (Graphics Processing Unit), Microsoft Windows Azure, Noise Reduction, Office Equipment, People Management, Performance Tuning/Optimization, Physical Demands, Predictive Modeling, Presentation/Verbal Skills, Production Systems, Python Programming/Scripting Language, Radiography, Risk Modeling, Robotics, Software Engineering, System Integration (SI), Training Tools, United States Citizen, United States CustomsAbout the Company:ManTechApply on Company Site### Apply for this PositionFill out the form below to apply for this rolePDF or Word document, max 10MBBy submitting this application, you agree to your information being shared with the hiring team.### About the CompanyManTech### Job DetailsJob TypeFull-timeLocationAshburn, USReferenceEXT-MQ2AXH60-1YPMPosted6 Jun 2026 #J-18808-Ljbffr