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AI / Machine Learning Engineer1Kosmos • United States
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AI / Machine Learning Engineer

1Kosmos
  • US
    United States
  • US
    United States
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Über

Job Description
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 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 blends
R&D
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 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.
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. Preferred Qualifications
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. Benefits 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
  • United States

Sprachkenntnisse

  • English
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