Why This Role Stands Out
Leverage your security clearance and advanced data science expertise to develop cutting-edge computer vision prototypes and integrate them into vital national security systems, offering significant career growth and impact. This hybrid role is ideal for experienced professionals with a strong background in deep learning and object detection who thrive in collaborative, secure development environments.
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Dayton, OH, United States
Posted
7 weeks ago
Computer VisionDeep LearningC++PyTorchPythonTensorFlow
Job Description
- **Requires an active TS/SCI Security Clearance with the ability to obtain a CI Poly**** What You'll Be Owning:
- Develop computer vision prototypes to detect and predict interactions between objects in multi-modal imagery.
- Implement unsupervised and supervised learning methods to support mission-specific analytic workflows.
- Build and manage datasets for training and evaluation in collaboration with subject matter experts (SMEs).
- Integrate prototypes into NASIC and broader DoD/IC IT architectures. Design and maintain data structures ("memory systems") that store learned patterns, support dynamic updates, and provide auditability.
- Follow secure software development practices, leveraging Python (preferred, v3.11+) and/or C++ in government repositories.
- Conduct prototype reviews, code walkthroughs, and demonstrations with NASIC stakeholders.
- Participate in bi-weekly technical interchange meetings and status updates.
What You Must Have
- At least 10 years of software development experience
- Active TS/SCI security clearance
- Advanced degree in Computer Science, Data Science, Electrical Engineering, or related field, or equivalent experience.
- Strong proficiency in Python (PEP8, Google Style Guide, type hints, docstring conventions) and familiarity with C++.
- Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) for computer vision applications.
- Background in object detection, scene understanding, and spatial reasoning.
- Hands-on experience with unsupervised learning methods and dataset development.
- Ability to work in secure environments and follow strict code review and documentation standards. What Would Be Nice to Have
- Knowledge of geospatial intelligence (GEOINT) workflows and imagery modalities.
- Familiarity with Air Force / DoD software security constraints and classified development practices.
- Experience designing dynamic and auditable data structures for knowledge persistence.
- Ability to collaborate closely with government technical managers (GTMs) and SMEs in a fast-paced prototyping environment. This posting is for a position that is part of a proposal or future opportunity. While this role is not currently funded, we anticipate openings in the near future. Our recruiting team will contact qualified candidates as positions become available.
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