2 days ago
Chantilly, VA, USAStaff+
Responsibilities
- Develop and apply AI/ML algorithms and workflows for satellite mission planning, space domain awareness, and resilient mission operations.
- Perform end-to-end ML development, including data exploration, feature engineering, model training and tuning, validation, and performance assessment.
- Implement and optimize classification, tracking, anomaly detection, and decision-support algorithms using optical and radar space-surveillance data.
- Build and maintain scalable HPC or HPC-like pipelines for large-scale model training, testing, and deployment.
- Use Python and/or C++ to extend modeling, simulation, and data analysis tools for space-domain problems.
- Translate mission needs into AI/ML requirements and integrate solutions into broader modeling and simulation efforts with cross-functional experts.
- Conduct trade studies and technical assessments and review algorithms and models from internal and external teams.
Requirements
- At least 2 years of relevant experience and a bachelor’s degree in computer science, data science, applied mathematics, engineering, physics, or a related technical field; a master’s degree may substitute for some experience.
- Experience designing, implementing, and evaluating supervised, unsupervised, or reinforcement learning algorithms on real-world datasets.
- Proficiency in at least one major AI/ML programming language, such as Python or C++, and experience with common ML and data libraries or frameworks.
- Experience with exploratory data analysis, predictive modeling, training, tuning, validation, and quantitative performance evaluation.
- Experience with scalable data-processing or model-training pipelines in an HPC or cloud-like environment.
- Active TS/SCI clearance with an active and current polygraph.
- Preferred experience includes applying AI/ML to satellite operations or space surveillance, working with optical or radar sensor data, and integrating ML with physics-based modeling and simulation tools.
- Preferred qualifications include experience with anomaly detection, mission planning, resource allocation, sensor tasking, HPC training pipelines, astrodynamics, satellite mission design, or remote sensing.
Benefits
- Fully on-site position in Chantilly, Virginia; no remote work is available.
- Work is performed in office and classified laboratory environments and may involve walking between secure facilities and attending on-site meetings and demonstrations.
Categories
About SAIC
SAIC (Science Applications International Corporation) is a government technology integrator delivering systems engineering, enterprise IT, secure cloud, cybersecurity, C5ISR, and data analytics for U.S. defense, space, intelligence, and civilian agencies. It builds and sustains mission IT and digital engineering solutions under multi-year federal contracts and task orders. Founded in 1969, SAIC is headquartered in Reston, Virginia, and is a public company traded on the NYSE under the ticker SAIC.