Senior Machine Learning Engineer – Computer Vision, Liveness Detection, Spoofing

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🕒 June 2

🏄 California – Remote

🏄 California – Remote

💵 $150k - $185k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Mitek Systems

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1986

🤖 Artificial Intelligence

📋 Compliance

🔐 Security

Artificial Intelligence • Compliance • Security

Mitek Systems is a leading provider of identity verification and biometric authentication solutions, serving a wide array of industries. It specializes in technologies such as mobile capture, biometric authentication, and fraud detection, offering AI-driven solutions to enhance compliance, security, and customer onboarding processes. Mitek Systems is renowned for its pioneering Mobile Deposit technology and its 4-dimensional biometric authentication, which includes face and voice liveness detection. The company focuses on protecting against financial fraud and ensuring compliance with regulatory standards, helping businesses to build customer trust through secure and seamless user experiences.

📋 Description

• Lead applied ML initiatives that power the next-generation Identity Verification (IDV) engine • Work across the full lifecycle—from data collection and organization to model design, training, evaluation, deployment, and production monitoring • Deliver accurate, efficient, and resilient models in real-world adversarial environments • Focus on biometric identity verification, face liveness detection, presentation attack detection (PAD), and anti-spoofing technologies • Develop and improve systems designed to detect fraud, replay attacks, deepfakes, and other forms of identity manipulation

🎯 Requirements

• Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field (or equivalent professional experience) • 5+ years of experience in applied machine learning, computer vision, or ML engineering with strong software engineering fundamentals (or equivalent combination of education and experience) • Strong Python programming skills • Experience developing and deploying computer vision models for image classification, detection, segmentation, or related image-based learning tasks in production environments • Hands-on experience designing, training, evaluating, and optimizing deep learning models using PyTorch or TensorFlow • Strong computer vision background • Experience working with large-scale image datasets • Proven ability to build reliable training and inference pipelines • Strong communication and collaboration skills.

🏖️ Benefits

• Universal, supplemental, and private healthcare plan choices based on country specifics • retirement/pension plan contributions • MTK stock plan participation • life event & disability coverage • generous annual leave • company holidays • volunteer time off • e-learning license • tuition reimbursement • hackathons • home office setup allowance • pet insurance • identity theft protection • legal assistance