AI/ML Engineer

Waypoint Human Capital • $120K — $145K *
Chantilly, VA 20152In-Person
Aerospace & Defense
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Data Science, Applied Math, or related field.
  • Active TS/SCI clearance with CI Polygraph capability.
  • Experience with Exploratory Data Analysis (EDA) for pattern identification.
  • Proficiency in designing and developing machine learning algorithms (supervised, unsupervised, reinforcement).
  • Skills in building, training, and tuning predictive models.
  • Experience in implementing algorithms for anomaly detection, prediction, classification, optimization, clustering.
  • Familiarity with programming languages such as Python and C++.

Responsibilities

  • Collaborate with modeling and simulation team on government satellite program analyses.
  • Develop machine learning algorithms for satellite recognition and tracking.
  • Conduct Exploratory Data Analysis to uncover patterns in data.
  • Design, develop, and evaluate various machine learning algorithms.
  • Build, train, and tune predictive models for satellite applications.
  • Optimize algorithms for tasks including anomaly detection and classification.
  • Develop High Performance Computing pipelines for project scalability.

Benefits

  • Flexible schedule with core collaboration hours from 10 am to 3 pm.
  • Access to fully-funded training programs.
  • Mentorship from experts in AI/ML, HPC, and related fields.
  • Opportunities for senior staff to take on leadership roles.
Full Job Description
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.

About Waypoint Human Capital

Waypoint Human Capital Careers

There has never been a more opportune time to join the dynamic team at Waypoint Human Capital—the leading hub for innovative human resources solutions.

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