Senior AI Scientist

ASSA ABLOY • Palm Beach Gardens, FL

9d • Hybrid

About The Position

We are seeking a highly innovative and technically exceptional Senior AI Scientist to join our Biometric Innovation Team. This role will focus on the research, development, optimization, and deployment of advanced AI and machine learning models that power next-generation biometric solutions. The ideal candidate will combine expertise in deep learning, computer vision, biometric recognition, and AI model lifecycle management to develop innovative technologies for biometric recognition, matching, presentation attack detection (PAD), contactless biometrics, biometric quality assessment, and emerging identity verification applications. 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. 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.

Requirements

• PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, Signal Processing, Electrical Engineering, or a related technical field.
• 4+ years of industry, research, or postdoctoral experience in developing and deploying AI models to production environments.
• Strong experience with Python, PyTorch, TensorFlow, OpenCV, Scikit-learn, AWS and SageMaker and experience with cloud-based AI environments.
• Deep technical expertise in CNNs, Transformers, Vision Transformers, Attention networks, Generative AI models, multimodal, foundation model learning / fine-tuning and evolving AI methods and Hybrid techniques
• Strong expertise in image processing, video analytics, optical flow, temporal modeling, image quality analysis, face matching, biometric recognition, PAD, and liveness detection
• Experience extracting and processing signals from RGB, NIR, IR, thermal, structured-light, depth, polarization, and multispectral sensing systems is preferred.
• Experience supporting face, fingerprint, iris, palm, and multimodal biometric solutions.
• Knowledge of biometric sensors and image quality assessment methodologies is preferred.
• Experience with MLOps, software engineering, data engineering, and responsible AI governance is preferred.
• Knowledge of biometric standards, compliance requirements, and benchmarking methodologies is preferred.

Responsibilities

• Designing, developing, training, evaluating, and optimizing state-of-the-art AI and deep learning models for biometric applications.
• Developing image processing, video analytics, biometric signal processing, feature extraction, and model evaluation pipelines.
• Applying data engineering, data quality, and data governance practices throughout the AI lifecycle.
• Building advanced computer vision pipelines utilizing visible spectrum, infrared, multispectral, and emerging image modalities.
• Implementing identity verification and enrollment workflows while creating benchmarking frameworks and performance evaluation methodologies.
• Managing end-to-end model development lifecycles from research through deployment and optimizing models for edge devices, embedded systems, and cloud environments.
• Driving AI explainability and transparency initiatives while implementing MLOps practices, including model monitoring, validation, retraining, and performance tracking.
• Ensuring models meet internal standards for fairness, privacy, security, and ethical biometric deployment.
• Investigating novel AI architectures and emerging technologies to improve biometric performance, security, fairness, and scalability.
• Evaluating innovations in generative AI, synthetic biometric data generation, and self-supervised learning.
• Partnering with compliance and product teams to align with emerging regulatory requirements and industry standards.
• Collaborating with universities, external partners, and third-party providers to support innovation and technology advancement while publishing technical findings, patents, and thought leadership where appropriate.

Benefits

• Competitive salary and rewards package
• Competitive benefits and annual leave offering, allowing for work-life balance
• A vibrant, welcoming & inclusive culture
• Extensive career development opportunities and resources to maximize your potential
• To be a part of a global organization that is pioneering the hardware, software and services that allow people to confidently navigate the physical and digital worlds

What This Job Offers

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