AI / Machine Learning Engineer

1Kosmos • Full-time • Iselin, NJ, US • 1d ago

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

Requirements

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

Benefits

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