We build AI systems that detect and respond to disinformation attacks in real time. Our platform combines machine learning with proprietary knowledge of attack and defense techniques. The founding team has 40 years of combined experience building data systems for national security and commercial organizations.
The Role
Youll build and deploy production ML systems that detect disinformation as it happens. This role covers the full ML lifecyclefrom model development through deployment and monitoring. Youll work with engineers and intelligence analysts to shape both the product and infrastructure.
Your Responsibilities
Build ML models for real-time disinformation detection
Deploy and monitor models in production environments
Manage data pipelines using streaming and batch processing frameworks
Make architectural decisions on databases infrastructure and system design
Collaborate across engineering ML and intelligence teams
Requirements
Production ML experienceyouve deployed ML systems that run in production
Strong Python skills and clean coding practices
Experience with CI/CD pipelines and containerization (Docker)
Working knowledge of SQL databases and NoSQL stores
Hands-on experience with data processing frameworks
Deep learning knowledge
Understanding of system trade-offs (latency vs accuracy cost vs performance)
We build AI systems that detect and respond to disinformation attacks in real time. Our platform combines machine learning with proprietary knowledge of attack and defense techniques. The founding team has 40 years of combined experience building data systems for national security and commercial org...
We build AI systems that detect and respond to disinformation attacks in real time. Our platform combines machine learning with proprietary knowledge of attack and defense techniques. The founding team has 40 years of combined experience building data systems for national security and commercial organizations.
The Role
Youll build and deploy production ML systems that detect disinformation as it happens. This role covers the full ML lifecyclefrom model development through deployment and monitoring. Youll work with engineers and intelligence analysts to shape both the product and infrastructure.
Your Responsibilities
Build ML models for real-time disinformation detection
Deploy and monitor models in production environments
Manage data pipelines using streaming and batch processing frameworks
Make architectural decisions on databases infrastructure and system design
Collaborate across engineering ML and intelligence teams
Requirements
Production ML experienceyouve deployed ML systems that run in production
Strong Python skills and clean coding practices
Experience with CI/CD pipelines and containerization (Docker)
Working knowledge of SQL databases and NoSQL stores
Hands-on experience with data processing frameworks
Deep learning knowledge
Understanding of system trade-offs (latency vs accuracy cost vs performance)