Sr. Software Developer - Machine Learning (Active TS/SCI)

Sr. Software Developer - Machine Learning (Active TS/SCI)

Chimera supports our customers with advanced intelligence analysis to aid analysts, the warfighters and decision makers. You will be supporting analysis team in Springfield, Virginia located at the National Geospatial-Intelligence Agency. This position is full time on-site and a Top Secret Clearance with SCI access is required.

As a software developer you will work with a team of software developers to design and execute experiments for few and low shot machine learning (ML) approaches for overhead imagery. This is a research position and will collaborate with other teammates weekly but a majority of the work is independent and you will be expected to publish and share code with the team according the a schedule defined by the customer and your research project level tasks. You will be required to collaborate effectively with other team members. Communication and collaboration are important aspects of this team.

In this job you will:

• Design and execute experiments for few and low shot approaches for overhead imagery. Avenues of research include: self-supervised methods, generative adversarial approaches for domain transfer with synthetic imagery, methods for reducing supervision cost through alternative annotation types and networks.
• Design and execute experiments for general detector performance in overhead imagery. Implement and evaluate new network architectures/approaches from literature as necessary to maintain strong baseline performance.
• Create custom deep neural network components and new performance metrics as needed to support the above. Occasionally writing Python extensions and CUDA kernels in C++ for custom network components, evaluation metrics, etc...
• Maintain containerized execution environments for experiments across compute architectures (amd64, ppc64le) and domains using Docker and Singularity.
• Occasionally work to deploy models created by the team on various partner platforms for evaluation and feedback.

• Master's Degree in an Applied Science field and a minimum of 9 years relevant job experience or 19 years experience in lieu of a Master's degree.
• An active TS/SCI clearance
• Proficient in Python
• Experience with deep learning including pytorch

• Experience with computer vision algorithms
• Research experience
• Ability to learn new skills such as CUDA, containers and Blender