AI / Machine Learning Engineer

Are you ready to shape the future of authentication? Join 1Kosmos and help lead the next wave in identity assurance and passwordless innovation.

1Kosmos 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.

Key Responsibilities

• 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 ,  TensorFlow , 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.

Preferred Qualifications

• 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, FedRamp 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