Applied Intuition is looking to build an end-to-end product that empowers government teams to rapidly develop, deploy, evaluate, and operationalize machine learning models for critical national security applications.
Requirements
- Proven experience as a full-stack software engineer
- Familiarity with building and managing data pipelines
- Experience with or a strong interest in machine learning adjacent work
- A track record of building software solutions from scratch (0->1) and scaling them
- Experience working with defense technology in Silicon Valley
- Willingness to get clearance, previous security clearance, or active security clearance
Responsibilities
- Design, develop, and maintain a complete end-to-end product enabling government programs to effectively collect and manage data for ATR (automated target recognition)
- Work across the full stack: frontend, backend, data management, and cloud & edge infrastructure
- Build and optimize robust data pipelines to support data collection, data labeling, data indexing, machine learning model training, and inference
- Work on ML-adjacent tooling and infrastructure that facilitates the entire machine learning lifecycle
- Lead the development of features from inception to delivery, taking ownership of key components
- Help architect and scale our product as it grows, ensuring performance, reliability, and security
- Collaborate directly with government customers to gather requirements, provide technical support, and ensure our solution meets their evolving needs
Other
- Passion for the defense and national security space
- Excellent communication skills and the ability to work closely with customers to understand their needs and deliver impactful solutions
- U.S. Citizenship
- Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway.
