AI Scientist - Computer Vision & Biometrics

An Amazing Career Opportunity for an AI Scientist - Computer Vision & Biometrics !! Location: Austin, TX or Palm Beach Garden, FL

Job ID: 51362

Supports the Biometrics Innovation Team by developing AI solutions for biometric recognition, identity verification, image processing, video analytics, and signal processing applications. The role applies machine learning and deep learning technologies across biometric sensing platforms. The position collaborates with engineering, product, and innovation teams to develop and deploy production-ready capabilities. The role contributes to biometric performance, security, and user experience improvements. The position advances HID biometric technology and product differentiation. The ideal candidate has hands-on experience building and deploying state-of-the-art models using architectures such as CNNs, ArcFace, Siamese Networks, and Vision Transformers.

Who are we? HID powers the trusted identities of the world’s people, places, and things, allowing people to transact safely, work productively and travel freely.

We are a high-tech software company headquartered in Austin, TX, with over 4,500 worldwide employees. Check us out here: www.hidglobal.com and https://youtu.be/23km5H4K9Eo

Biometric Identity Technologies: At the Biometric Identity Technologies Business Area, within HID, we aim to create a safer world with biometric solutions that enhance everyday life, ensuring trust and reliability in every interaction. As a trusted biometric leader, we seamlessly and ethically protect people, places, and things, where we create a secure and equitable environment where everyone’s data is protected and their privacy respected.

Driven by years of innovation, we offer a broad range of biometric identity technologies for transactions requiring irrefutable proof of identity, such as customer onboarding, fraud prevention, loss prevention, seamless travel, forensic investigation, background checks, border security, and government benefit issuance. We provide peace of mind to a great array of organizations and industries who know that they are getting the highest level of safety and security through trusted identity.

As our AI Scientist , you’ll support HID’s success by:

• Designing, developing, training, evaluating, and optimizing AI and deep learning models for biometric applications.
• Developing image processing, video analytics, biometric signal processing, feature extraction, and model evaluation pipelines.
• Defining and developing data collection tools, datasets, annotation workflows, and benchmarking processes.
• Applying data engineering, data quality, and data governance practices throughout the AI lifecycle.
• Supporting the deployment and continuous improvement of biometric AI solutions in production environments.
• Supporting AI innovation initiatives and product development activities.
• Supporting cross-functional collaboration with engineering, product management, and business stakeholders.
• Evaluating and supporting the adoption of emerging AI technologies for biometric applications.
• Improving model development, deployment, and evaluation methodologies.
• Supporting biometric application development across multiple sensing platforms.

Your Experience and Background include:

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

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