Waypoint Human Capital
Waypoint Human Capital

AI/ML Engineer

Chantilly, VA, US • Posted 9 hours ago • Updated 9 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Modeling
  • Scheduling
  • Surveillance
  • Satellite
  • Sensors
  • Computer Science
  • Data Science
  • Mathematics
  • Security Clearance
  • PASS
  • Continuous Integration
  • Data Analysis
  • EDA
  • Management
  • Training
  • Optimization
  • Clustering
  • High Performance Computing
  • Scalability
  • Programming Languages
  • Python
  • C++
  • Algorithms
  • Sitecore
  • Collaboration
  • Performance Management
  • Project Management
  • Preventive Maintenance
  • Mentorship
  • Artificial Intelligence
  • Machine Learning (ML)
  • HPC
  • Astrodynamics

Summary

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91113162
  • Position Id: 531789463c445bcaef7439cab2cc93a2
  • Posted 9 hours ago
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