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# AI/ML Engineer

- **Company:** Waypoint Human Capital
- **Location:** Chantilly, VA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, C++ (Programming Language), Python (Programming Language), Machine Learning, Wireless Sensor Networks, Reinforcement Learning, High Performance Computing, Information Technology, Modeling and Simulation, Programming Languages
- **Published:** September 23, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9183157/aiml-engineer

## About the Role

Waypoint's client is seeking an AI/ML Engineer to support advanced modeling and simulation efforts for government satellite programs. This role will develop and evaluate machine learning algorithms for space-surveillance and satellite applications, working with optical and radar sensor data, predictive models, and high-performance computing environments. The ideal candidate will have experience with Python and/or C++, machine learning techniques, and data analysis, with the ability to conduct independent technical assessments and collaborate with experts in AI/ML, astrodynamics, sensing, and HPC., * Education degree: Computer Science, Data Science, Applied Math, or a related technical field.

 * Clearance: TS/SCI, should have current or be able to pass CI polygraph test.
 * Experience conducting Exploratory Data Analysis (EDA) to identify patterns.
 * Experience designing, developing, and evaluating machine learning algorithms, including supervised, unsupervised, and reinforcement learning.
 * Experience building, training, and tuning predictive models.
 * Experience implementing and optimizing algorithms for tasks such as anomaly detection, prediction, classification, optimization, clustering.
 * Experience developing High-Performance Computing pipelines for scalability and monitoring.
 * Experience with programming languages such as Python, C++, or others.
 * Ability to conduct independent trade studies and technical assessments.
 * Ability to review and validate algorithms and results provided by external teams.

## Description

* Work with our modeling and simulation team to conduct a wide variety of analyses in support of government satellite programs in Earth orbits.
 * Develop new Machine Learning (ML) algorithms for applications such as:
 + Using optical and radar space-surveillance sensors to recognize different types of satellites.
 + Scheduling space surveillance sensor networks to find, recognize and track maneuvering satellites.
 + Deciding what activities satellites should undertake.
 * Conduct Exploratory Data Analysis (EDA) to identify patterns.
 * Design, develop, and evaluate machine learning algorithms, including supervised, unsupervised, and reinforcement learning.
 * Build, train, and tune predictive models.
 * Collaborate with cross-functional teams to identify and solve problems.
 * Implement and optimize algorithms for tasks such as anomaly detection, prediction, classification, optimization, clustering.
 * Develop High Performance Computing pipelines for scalability and monitoring.
 * Work with satellite designers and operations planners.
 * Work with experts in astrodynamics, sensors, AI/ML, High Performance Computing (HPC).
 * Use programming languages such as Python, C++, or others to leverage existing analysis tools and develop new ones.
 * Conduct independent trade studies and technical assessments.
 * Review and validate algorithms and results provided by external teams.
 * Develop and optionally present actionable technical briefings.


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