Biometrics and AI Research Engineer

Biometrics and AI Research Engineer (Education)

Location:

Pasadena, United States of America

Thales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to bring trust to the billions of digital interactions they have with people. Our technologies and services help banks exchange funds, people cross borders, energy become smarter and much more. More than 30,000 organizations already rely on us to verify the identities of people and things, grant access to digital services, analyze vast quantities of information and encrypt data to make the connected world more secure.

Pasadena CA, Hybrid

Applicants must be legally authorized to work in the United States for any employer at the time of hire. This position is not eligible for visa sponsorship or for assuming sponsorship of an employment visa now or in the future.

Must be a U.S. Person as defined in applicable law, or otherwise authorized or eligible for authorization, to access to hardware, software, technology or technical data controlled under the Export Administration Regulations (EAR).

As a Biometrics and AI Research Engineer in our Pasadena, California-based biometrics research organization, you will be working at the intersection of scientific innovation and advanced software engineering. You will translate cutting-edge research into scalable software solutions while influencing technical direction across research initiatives, collaborating with cross-functional engineering teams, and contributing to the long-term technology strategy of our biometric platforms. This position requires deep technical expertise, sound engineering judgment, and the ability to solve complex technical challenges with significant business impact

• Design and execute sophisticated experiments utilizing large-scale biometric datasets to evaluate algorithm accuracy, robustness, fairness, security, and operational performance.
• Research, evaluate, and implement state-of-the-art machine learning, deep learning, computer vision, and signal processing techniques applicable to biometric recognition systems.
• Benchmark internal technologies against published research, commercial solutions, and industry evaluations to identify opportunities for advancement.
• Identify emerging trends in biometrics, artificial intelligence, and adjacent technologies, recommending adoption where appropriate.

• Develop high-quality, secure, production-oriented software prototypes and research tools using modern software engineering practices.
• Design reusable software components supporting biometric acquisition, feature extraction, matching, fusion, evaluation, and performance analysis.
• Champion software quality through code reviews, automated testing, version control, and secure coding methodologies.
• Collaborate with software engineering teams to transition research innovations into scalable production solutions.
• Make architectural recommendations that influence biometric system design, software frameworks, and algorithm integration.

• Partner closely with scientists, software engineers, systems engineers, product management, and program teams to align research priorities with customer and business objectives.
• Provide technical leadership during system integration, ensuring algorithm performance meets operational and customer requirements.
• Support proposal efforts, technology demonstrations, customer engagements, and technical evaluations.

• Prepare technical publications, invention disclosures, patents, conference papers, and customer presentations supporting organizational innovation.
• Represent the organization at technical conferences, industry working groups, and customer engagements.

• Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, Artificial Intelligence, Mathematics, or related technical discipline with 5+ years of relevant industry experience;
• Demonstrated experience leading development of advanced biometric or AI-based technologies from research through implementation.
• Strong background in machine learning, computer vision, pattern recognition, statistical modeling, or signal processing.
• At least 4 years developing software applications using C/C++ and Python.
• Experience with PyTorch, Tensor Flow, ONNX Runtime, OpenVINO, TensorRT, or similar machine learning frameworks.
• Prior experience with biometric applications
• Hands on experience designing experiments, analyzing large datasets, and interpreting statistical performance metrics.
• Strong understanding of software engineering best practices, secure coding, testing methodologies, and source control.
• Demonstrated ability to influence technical direction across multidisciplinary engineering teams.
• Excellent written and verbal communication skills,…