AI/ML Engineer

Waypoint Human Capital

AI/ML Engineer

• Chantilly, VA

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.