AI​/Machine Learning Engineer

Are you ready to shape the future of authentication? Join 1

Kosmos and help shape the next wave in identity assurance and passwordless innovation.

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Kosmos is driving the future of identity security, empowering organizations to eliminate passwords and establish trust at every step of the identity lifecycle. As a vibrant team of innovators, we develop advanced authentication solutions trusted by some of the world's leading brands. Join us as we create a passwordless world and set new standards for digital identity assurance.

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture
, data extraction
, and fraud detection
, delivering high-performance models that can run on both mobile devices and cloud environments.

This role blends R&D with production engineering—you'll take ownership of the full ML lifecycle, from dataset creation and model training to deployment and performance optimization.

• Design and implement AI models for image classification, object detection, OCR, and feature extraction
• Develop real-time image quality assessment and capture guidance algorithms
• Create and maintain data pipelines for collecting, cleaning, augmenting, and labeling datasets
• Implement model optimization techniques for mobile (on-device) and cloud inference
• Apply fraud detection methods to identify tampering, forgeries, or replay attacks in visual data
• Integrate ML models into production-grade APIs and mobile SDKs
• Monitor, evaluate, and continuously improve model accuracy and performance
• Collaborate with product and engineering teams to align AI capabilities with business goals

• Bachelor's or Master's degree in Computer Science, AI/ML, or related field (or equivalent experience)
• 3+ years of experience building and deploying ML models in production
• Proficiency in Python and ML frameworks (PyTorch, Tensor Flow, or similar)
• Experience with computer vision libraries (e.g., OpenCV) and OCR technologies
• Strong understanding of deep learning architectures for image and text recognition
• Familiarity with cloud platforms (AWS, GCP, or Azure) and API development
• Strong problem‑solving skills and ability to work in fast‑paced environments
• Based in the NJ/NY area; hybrid working model

• Experience with model quantization and optimization for mobile deployment
• Knowledge of synthetic data generation and data augmentation techniques
• Background in security, liveness detection, or anomaly detection
• Exposure to compliance and data privacy regulations (GDPR, CCPA)
• Contributions to open‑source ML projects or published research

• Cutting‑Edge Tech Stack:
  Build with decentralized identity protocols, Fed Ramp High, FIDO2‑certified cryptography, and NIST‑compliant biometric systems
• Accelerated Growth:
  Receive annual stipends for certifications and attend key conferences like Identiverse or EIC
• Ownership & Impact:
  We move fast and will enable you to make a big impact with large customers in US & Canada
• Flexibility First:
  Unlimited PTO, and 2 days WFH