AI / Machine Learning Engineer
1Kosmos is an identity security company providing a platform for identity verification, passwordless authentication, and reverification across the user lifecycle. It serves workforce, consumer, and citizen identity use cases, helping organizations securely onboard and authenticate users while protecting personal data.
Funding
Projects
About 1Kosmos
1Kosmos offers a single platform that verifies identity at onboarding, enables passwordless authentication across systems, and reverifies users when risk changes, all built with government-grade security. Its privacy-first, decentralized architecture ensures user identity data stays with the user rather than being centrally stored or monetized, using verified biometrics and user-controlled, reusable decentralized credentials. The company serves workforce identity (employee onboarding and authentication), customer identity (consumer onboarding and fraud prevention), and citizen identity (secure access to government services) use cases, with clients such as Concentrix deploying passwordless authentication across hundreds of thousands of users. 1Kosmos integrates with existing enterprise systems like ServiceNow via pre-built integrations and APIs, and has been recognized by analyst firms including Gartner and KuppingerCole as a leader in identity verification and passwordless authentication.
Skills
About the Role
You will design, build, and deploy advanced computer vision and AI solutions, working on projects involving image capture, data extraction, and fraud detection. You will deliver high-performance models that run on both mobile devices and cloud environments. This role blends R&D with production engineering, giving you ownership of the full ML lifecycle, from dataset creation and model training to deployment and performance optimization.
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
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
Benefits
- Annual stipends for certifications and conferences like Identiverse or EIC
- Unlimited PTO
- 2 days WFH