Senior Backend Software Engineer, Biometrics

We are seeking a highly skilled Senior Software Engineer specializing in biometrics, with a focus on facial geometry and facial recognition technologies. The ideal candidate will contribute to the development of cutting-edge identity verification, document authentication, and fraud prevention systems that rely on accurate facial analysis and biometric matching.

This role requires deep expertise in computer vision, 3D facial modeling, and machine learning, with the ability to design and implement scalable, high-performance biometric solutions for enterprise and consumer applications.

Key Responsibilities

Implement, and optimize our facial recognition algorithms which are based on facial geometry, 3D modeling/reconstruction, and landmark detection, etc.

Develop software for biometric authentication, liveness detection, and identity verification.

Collaborate with data science and AI teams to integrate machine learning models for facial matching, spoof detection, and anomaly detection.

Optimize facial recognition pipelines for accuracy, speed, and scalability across large datasets.

Benchmark biometric algorithms against industry standards to ensure high accuracy and low false acceptance/rejection rates, ADA compliance, and non-bias.

Evaluate cameras and biometric capture hardware to assist with integration of our solution into diverse environments such as webcam-powered applications, kiosks, and mobile applications.

Work with cross-functional teams to embed biometric capabilities into SaaS, mobile, and cloud-based systems.

Collaborate with engineering, product, and compliance teams to translate business and regulatory requirements into technical solutions.

Mentor junior engineers and contribute to code reviews, technical documentation, and knowledge sharing.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Computer Vision, or a related field

5+ years of experience in computer vision, facial recognition, or biometric software engineering.

Strong programming skills in Python, C#, or Java, and experience with frameworks such as TensorFlow, PyTorch, OpenCV, or Dlib.

Deep knowledge of facial geometry, 3D modeling, landmark detection, and alignment algorithms.

Experience designing and optimizing biometric authentication and liveness detection pipelines.

Experience with cloud deployment (AWS, GCP, Azure) and scalable software architectures preferred.

Strong analytical, problem-solving, and communication skills, with the ability to mentor and guide technical teams.

Can-do attitude and approach to technical challenges

About IDScan.net

Based in New Orleans, Louisiana, but with a global footprint, IDScan.net is the leading provider of omnichannel identity verification software, supporting both brick and mortar and digital businesses. More than 7,500 businesses use our software to prevent fraud, verify age, manage access and visitors, and stay compliant. Our team supports identity verification at scale, and product innovation to meet the needs of high compliance industries and use cases.

About IDScan.net

IDScan.net is an identity verification technology leader, and provider of software based solutions for ID fraud prevention, document authentication, age verification, and access management. Our software centers on the identity document (ID or passport) and uses AI and machine learning to flag fraudulent documents with a high degree of accuracy. IDScan.net is a growth-focused SaaS company who provides licenses and subscriptions to software products. We pride ourselves on our customer service and flexible approach to meeting client needs.