AI​/Machine Learning Engineer

Are you ready to shape the future of authentication? Join 1

Kosmos and help lead the next wave in identity assurance and passwordless innovation.

1

Kosmos 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 blendsR&Dwith production engineering—you’ll take ownership of the full ML lifecycle, from dataset creation and model training to deployment and performance optimization.

• 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.

• 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 (
  Py Torch ,
  Tensor Flow
  , 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.

• 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.

• Cutting-Edge Tech Stack:
  Build with decentralized identity protocols, Fed Ramp 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