AI Scientist

An Amazing Career Opportunity for an AI Scientist!!

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.

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.

What we can offer you:

• 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

Why apply?

• Empowerment: You'll work as part of a global team in a flexible work environment, learning and enhancing your expertise. We welcome an opportunity to meet you and learn about your unique talents, skills, and experiences. You don't need to check all the boxes. If you have most of the skills and experience, we want you to apply.
• Innovation: You embrace challenges and want to drive change. Youll have opportunities to share insights and contribute forward-thinking ideas that shape future outcomes.
• Integrity: You are results-orientated, reliable, and straightforward and value being treated accordingly. We want all our employees to be themselves, to feel appreciated and accepted.

HID does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. We are not responsible for any fees related to unsolicited resumes.

HID is committed to building a diverse, equitable, and inclusive workforce that reflects the global communities we serve. As an equal opportunity employer, we welcome applications from individuals of all backgrounds, experiences, and perspectives. We evaluate applicants without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or any other legally protected characteristic. Our goal is to create a workplace that empowers everyone to thrive and be their authentic selves, fostering an environment of mutual respect and inclusivity. If you have a disability and require assistance or accommodation to participate in the application process or to perform essential job functions, please contact accommodations-ext@hidglobal.com.

Immigration Sponsorship Not Available

• Applicants for this position must be currently and legally authorized to reside and work in the hiring country.
• HID Global will not offer immigration sponsorship or assume sponsorship of an employment visa for this position.
• International relocation or remote work arrangements outside of the hiring country will not be considered.

At times, HID may use AI-assisted technology to help our Talent Acquisition team review applications by identifying job-related qualifications, skills, and experience in résumés and comparing them with the requirements of the role. The technology supports recruiter review but does not make hiring decisions. A member of our Talent Acquisition team reviews each application before any selection decision is made. Information processed by the tool is deleted once the recruiters review is complete.

We make it easier for people to get where they want to go!

On an average day, think of how many times you tap, twist, tag, push or swipe to get access, find information, connect with others or track something. HID technology is behind billions of interactions, in more than 100 countries. We help you create a verified, trusted identity that can get you where you need to go - without having to think about it.

When you join our HID team, you'll also be part of the ASSA ABLOY Group, the global leader in access solutions. You'll have 63,000 colleagues in more than 70 different countries. We empower our people to build their career around their aspirations and our ambitions - supporting them with regular feedback, training, and development opportunities. Our colleagues think broadly about where they can make the most impact, and we encourage them to grow their role locally, regionally, or even internationally. As we welcome new people on board, it's important to us to have diverse, inclusive teams, and we value different perspectives and experiences.

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