Senior AI Scientist - Computer Vision & Biometrics

ASSA ABLOY • Palm Beach Gardens, FL

13d

About The Position

HID is seeking a Senior AI Scientist to join its Biometric Innovation Team. The role focuses on researching, developing, optimizing, and deploying AI and machine learning models for biometric solutions, including biometric recognition and matching, presentation attack detection, contactless biometrics, biometric quality assessment, and identity verification. The successful candidate will bring expertise in deep learning, computer vision, biometric recognition, and AI model lifecycle management, with hands-on experience building and deploying models using architectures such as CNNs, ArcFace, Siamese Networks, and Vision Transformers.

The position supports HID’s Biometric Identity Technologies Business Area, which develops biometric identity technologies for applications such as customer onboarding, fraud prevention, travel, forensic investigation, background checks, border security, and government benefit issuance. The role includes managing AI model development from research through deployment, optimizing models for edge, embedded, and cloud environments, and ensuring responsible, fair, private, secure, and ethical use of biometric technology. It also involves collaboration with product and compliance teams, universities, and external partners, as well as contributing to technical publications, patents, and thought leadership where appropriate.

The role is based in Austin, Texas, or Palm Beach Gardens, Florida. Applicants must already be legally authorized to live and work in the hiring country; immigration sponsorship and international relocation or remote work outside that country are not available.

Requirements

• PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, Signal Processing, Electrical Engineering, or a related technical field.
• At least 4 years of industry, research, or postdoctoral experience developing and deploying AI models to production environments.
• Strong experience with Python, PyTorch, TensorFlow, OpenCV, Scikit-learn, AWS, SageMaker, and cloud-based AI environments.
• Deep technical expertise in CNNs, Transformers, Vision Transformers, attention networks, generative AI models, multimodal and foundation-model learning or fine-tuning, evolving AI methods, and hybrid techniques.
• Strong expertise in image processing, video analytics, optical flow, temporal modeling, image-quality analysis, face matching, biometric recognition, presentation attack detection, and liveness detection.

Nice To Haves

• Experience extracting and processing signals from RGB, NIR, IR, thermal, structured-light, depth, polarization, and multispectral sensing systems.
• Experience deploying face, fingerprint, iris, palm, and multimodal biometric solutions.
• Knowledge of biometric sensors and image-quality assessment methodologies.
• Experience with MLOps, software engineering, data engineering, and responsible AI governance.
• Knowledge of biometric standards, compliance requirements, and benchmarking methodologies.

Responsibilities

• Design, develop, train, evaluate, and optimize advanced AI and deep learning models for biometric applications.
• Develop image-processing, video-analytics, biometric-signal-processing, feature-extraction, and model-evaluation pipelines.
• Apply data engineering, data quality, and data governance practices throughout the AI lifecycle.
• Build computer-vision pipelines using visible-spectrum, infrared, multispectral, and emerging image modalities.
• Implement identity-verification and enrollment workflows and create benchmarking frameworks and performance-evaluation methodologies.
• Manage end-to-end model development from research through deployment, optimizing models for edge devices, embedded systems, and cloud environments.
• Drive AI explainability and transparency initiatives and implement MLOps practices for monitoring, validation, retraining, and performance tracking.
• Ensure models meet internal standards for fairness, privacy, security, and ethical biometric deployment.
• Investigate AI architectures and emerging technologies to improve biometric performance, security, fairness, and scalability.
• Evaluate generative AI, synthetic biometric data generation, and self-supervised learning innovations.
• Partner with compliance and product teams to align with emerging regulatory requirements and industry standards.
• Collaborate with universities, external partners, and third-party providers to advance technology and innovation.
• Publish technical findings, patents, and thought leadership where appropriate.

Benefits

• Competitive salary and rewards package.
• Competitive benefits and annual leave offering.
• Flexible work environment.
• Career development opportunities and resources.
• Regular feedback, training, and development opportunities through the ASSA ABLOY Group.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree