AI / Machine Learning Engineer
1Kosmos provides identity verification, passwordless authentication, and user reverification through a privacy-first platform. Its solutions serve workforce, customer, and government identity use cases, including enterprise clients and large-scale deployments.
Funding
About 1Kosmos, Inc.
1Kosmos offers an identity platform that verifies users during onboarding, captures biometrics, issues decentralized credentials, enables passwordless authentication, and reverifies identities when risk changes. The company provides integrations, APIs, developer documentation, and solutions for workforce identity, customer identity, citizen identity, and AI agents. Its clients include enterprises, government organizations, and large workforces such as Concentrix's 450,000 users.
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
