AI / Machine Learning Engineer

1Kosmos; Iselin (PA); Hybrid; USD 100,000 - 140,000; Full time

Benefits offered by this job

Unlimited PTO

Annual stipends for certifications

Opportunity to attend key conferences

Job summary

A leading identity security company is looking for an AI / Machine Learning Engineer to design and develop advanced computer vision and AI solutions. With a focus on image capture, data extraction, and fraud detection, this role requires expertise in Python and ML frameworks like PyTorch and TensorFlow, along with a strong understanding of deep learning architectures. The company offers a hybrid working model, unlimited PTO, and opportunities for professional growth through conferences and certifications.

Qualifications

• 3+ years of experience building and deploying ML models in production.
• Experience with computer vision libraries and OCR technologies.
• Familiarity with cloud platforms (AWS, GCP, or Azure).

Responsibilities

• Design and implement AI models for image classification and object detection.
• Develop real-time image quality assessment algorithms.
• Integrate ML models into production-grade APIs and mobile SDKs.

Skills

Python

Machine Learning frameworks

Deep learning architectures

Problem-solving skills

Education

Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field

Tools

PyTorch

TensorFlow

OpenCV

Job description

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 anAI / Machine Learning Engineerto design, build, and deploy advanced computer vision and AI solutions. You will work on projects involvingimage capture,data extraction, andfraud detection, delivering high-performance models that can run on both mobile devices and cloud environments.

This role blendsR&Dwith 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 implementAI modelsfor image classification, object detection, OCR, and feature extraction.
• Develop real-timeimage quality assessmentand capture guidance algorithms.
• Create and maintaindata pipelinesfor collecting, cleaning, augmenting, and labeling datasets.
• Implementmodel optimization techniquesfor mobile (on-device) and cloud inference.
• Applyfraud detection methodsto identify tampering, forgeries, or replay attacks in visual data.
• Integrate ML models intoproduction-grade APIsand 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+ yearsof experience building and deploying ML models in production.
• Proficiency inPythonand ML frameworks (PyTorch,TensorFlow, or similar).
• Experience withcomputer vision libraries(e.g., OpenCV) and OCR technologies.
• Strong understanding ofdeep learning architecturesfor image and text recognition.
• Familiarity withcloud 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 withmodel quantizationand optimization for mobile deployment.
• Knowledge ofsynthetic data generationand data augmentation techniques.
• Background insecurity, liveness detection, or anomaly detection.
• Exposure to compliance and data privacy regulations (GDPR, CCPA).
• Contributions toopen-source ML projectsor 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