AI / Machine Learning Engineer
At a glance
Mid-level Machine Learning Engineering role at 1Kosmos. Edison · full-time · no salary stated · we estimate $142,875–$228,150 across the United States.
1Kosmos has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build vision models for image classification, object detection, OCR and feature extraction
- Create real-time checks that assess image quality and guide users through capture
- Prepare datasets by collecting, cleaning, augmenting and labeling image data
- Tune models for inference on phones and in cloud environments, then connect them to APIs and mobile SDKs
- Detect visual tampering, forgeries and replay attacks, and track model accuracy after launch
What you bring
- At least three years building machine learning models and putting them into production
- A bachelor's or master's in computer science, AI or machine learning, or equivalent experience
- Working knowledge of Python, machine learning frameworks, computer vision libraries and OCR tools
- Understanding of deep learning for recognizing images and text
Who this fits
This mid-level role suits an engineer who can take machine learning work from dataset preparation through deployment and performance tuning. The role is listed as onsite in Edison, while the posting also describes a hybrid model and specifies a New Jersey or New York-area base.
From the employer
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