AI Scientist - Computer Vision & Biometrics

ASSA ABLOY•Palm Beach Gardens, FL

12d

About The Position

The AI Scientist supports HID’s Biometrics Innovation Team by developing AI solutions for biometric recognition, identity verification, image processing, video analytics, and signal processing across biometric sensing platforms. The role applies machine learning and deep learning technologies and collaborates with engineering, product, and innovation teams to develop and deploy production-ready capabilities. It contributes to improvements in biometric performance, security, and user experience, and advances HID biometric technology and product differentiation. The position calls for hands-on experience building and deploying state-of-the-art models, including architectures such as CNNs, ArcFace, Siamese Networks, and Vision Transformers. The position is based in Austin, Texas, or Palm Beach Gardens, Florida. It supports biometric application development across multiple sensing platforms and contributes to AI innovation initiatives and product development.

Requirements

PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, Signal Processing, Electrical Engineering, or a related technical field.
0–4 years of industry, research, or postdoctoral experience.
Experience with Python, PyTorch or TensorFlow, OpenCV, NumPy, Pandas, and Jupyter.
Knowledge of CNNs, Vision Transformers (ViT), attention networks, hybrid methods, image processing, video analytics, object detection, feature extraction, and image quality assessment.
Familiarity with face recognition, face matching, presentation attack detection (PAD), liveness detection, identity verification, and biometric recognition systems.
Applicants must be legally authorized to reside and work in the hiring country; immigration sponsorship is not available.

Nice To Haves

Exposure to biometric modalities including face, fingerprint, iris, and palm recognition.
Exposure to imaging modalities including RGB, NIR, IR, thermal, structured-light, ToF/3D depth, polarization, and multispectral imaging.
Knowledge of biometric standards, compliance requirements, and benchmarking methodologies.
Experience with MLOps, software engineering, data engineering, and responsible AI governance.

Responsibilities

Design, develop, train, evaluate, and optimize AI and deep learning models for biometric applications.
Develop image processing, video analytics, biometric signal processing, feature extraction, and model evaluation pipelines.
Define and develop data collection tools, datasets, annotation workflows, and benchmarking processes.
Apply data engineering, data quality, and data governance practices throughout the AI lifecycle.
Support deployment and continuous improvement of biometric AI solutions in production environments.
Support AI innovation initiatives and product development activities.
Collaborate with engineering, product management, and business stakeholders.
Evaluate and support adoption of emerging AI technologies for biometric applications.
Improve model development, deployment, and evaluation methodologies.
Support biometric application development across multiple sensing platforms.