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AI​/ML Engineer

Job in Chantilly, Fairfax County, Virginia, 22021, USA
Listing for: Waypoint Human Capital
Full Time position
Listed on 2026-09-24
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist, Systems Engineer
Salary/Wage Range or Industry Benchmark: 130000 - 180000 USD Yearly USD 130000.00 180000.00 YEAR
Job Description & How to Apply Below

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

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.

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

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