Data Scientist, Face Biometrics

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Mobilint, Inc.

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2019

🤖 Artificial Intelligence

🔧 Hardware

☁️ SaaS

💰 Series A on 2021-07

Artificial Intelligence • Hardware • SaaS

Mobilint, Inc. is a leading provider of high-performance AI chips designed for on-device and on-premises AI applications. The company focuses on delivering NPU solutions that optimize AI tasks at the edge, achieving impressive performance levels while maintaining low power consumption. Mobilint's products support a wide array of machine learning frameworks and offer a user-friendly full-stack SDK, making it easier for developers to integrate advanced AI capabilities into their edge devices. With a commitment to innovation in edge AI and a proud membership in MLCommons, Mobilint is shaping the future of AI technology.

📋 Description

• Developing machine learning algorithms for face authentication solutions • Researching, prototyping, and evaluating presentation attack detection and fraud prevention methods • Testing and configuring face algorithms to meet performance and accuracy standards • Extending and utilising existing biometric code libraries • Running rigorous experiments, interpreting findings, and translating outcomes into deployable models and policies • Helping to innovate and develop solutions to emerging face biometrics challenges • Applying and continuously growing your expertise in AI, machine learning, and computer vision

🎯 Requirements

• Hands on experience in at least two of the areas listed below. • A proven track record through project delivery, research contributions, or a minimum of two years of relevant employment experience: • (1) Computer Vision & Deep Learning • Strong grounding in computer vision and machine learning principles • Proficiency with deep learning frameworks such as PyTorch or TensorFlow • Solid understanding of detection, recognition, and classical CV pipelines • Strong programming skills in Python and/or C++, including version control, testing, and debugging • (2) Data & Experimental Methods • Experience handling, preprocessing, and analysing large-scale datasets • Familiarity with synthetic data generation or weakly/lightly supervised learning approaches • (3) Image Recognition & Matching • Experience with authentication, identity matching, or metric learning • Knowledge of feature extraction, alignment, and embedding-based systems • (4) Liveness & Anti-Spoofing • Exposure to presentation attack detection, including replay, mask, or deepfake scenarios • Interest or experience in adversarial robustness and anti-spoofing research • Ability to review, interpret, and implement state-of-the-art research • Comfortable using AI tools to accelerate workflow and productivity • Awareness of privacy, ethics, and security considerations in biometrics • Strong written and verbal communication skills in English.

🏖️ Benefits

• Competitive compensation & benefits • Flexible working environment to create a very balanced work/life schedule for you and your family