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 anย AI / Machine Learning Engineerย to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involvingย image capture,ย data extraction, andย fraud detection, delivering high-performance models that can run on both mobile devices and cloud environments.
This role blendsย R&Dย 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 implementย AI modelsย for image classification, object detection, OCR, and feature extraction.
- Develop real-timeย image quality assessmentย and capture guidance algorithms.
- Create and maintainย data pipelinesย for collecting, cleaning, augmenting, and labeling datasets.
- Implementย model optimization techniquesย for mobile (on-device) and cloud inference.
- Applyย fraud detection methodsย to identify tampering, forgeries, or replay attacks in visual data.
- Integrate ML models intoย production-grade APIsย 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+ yearsย of experience building and deploying ML models in production.
- Proficiency inย Pythonย and ML frameworks (PyTorch,ย TensorFlow, or similar).
- Experience withย computer vision librariesย (e.g., OpenCV) and OCR technologies.
- Strong understanding ofย deep learning architecturesย for image and text recognition.
- Familiarity withย cloud platformsย (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 withย model quantizationย and optimization for mobile deployment.
- Knowledge ofย synthetic data generationย and data augmentation techniques.
- Background inย security, liveness detection, or anomaly detection.
- Exposure to compliance and data privacy regulations (GDPR, CCPA).
- Contributions toย open-source ML projectsย or published research.
Benefits
- Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High, FIDO2-certified cryptography, and NIST-compliant biometric systems.ย
- 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.ย
- Flexibility First: Unlimited PTO, and 2 days WFH