Responsibilities:

• Liveness Detection Development: Design, train, and deploy advanced deep learning models to ensure robust liveness detection, preventing spoofing attacks using photos, videos, masks, or other methods.

• Design, train and deploy biometric models to correctly identify users
• Own the full lifecycle of deploying models: from data labelling, working with engineers to design scalable APIs, to monitoring and A/B testing new model versions
• Stay updated with the latest research in biometrics, computer vision, and deep learning, incorporating new techniques to improve VIDA’s products
• Collaborate with business, product, operations and engineering teams to deliver impact for our customers

• Work independently or in a team to solve complex problem statements

Requirements:

• An advanced degree in a quantitative field, and 3+ years of hands-on experience in deep learning model development for biometrics or liveness detection or a similar field.

• Deep understanding of modern computer vision techniques, deep learning and machine learning
• Experience developing and deploying machine learning models in production
• Experience with adversarial training to enhance model robustness
• Proficient in Python, C++, Scala, or Java
• Familiarity with modern deep learning frameworks such as TensorFlow, PyTorch, MXNet
• Familiarity with cloud platforms like AWS, GCP, or Azure for model deployment.
• Experience in on-device inference for machine learning models is a plus
• Take pride in taking ownership and driving projects to have business impact

• Thrive in a fast moving collaborative environment