AI/ML Engineer

Position Title: AI/ML Engineer
Position Type: Full-time, On-site
Location : Chantilly, VA
Clearance: Active TS/SCI w/CI Poly

Waypoints 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.

Responsibilities:

- 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.

Required:

- 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.

Additional Information:

- Flexible schedule: On-site core collaboration hours from 10 am to 3 pm.

- Fully-funded

- Mentoring by experts in AI/ML, HPC, astrodynamics, sensing and other fields.

- Senior staff will have opportunities to serve as principals and team leaders.