AI/ML Engineer

Waypoint Human Capital; Chantilly (VA); On-site; USD 130,000 - 180,000; Full time

Benefits offered by this job

Flexible schedule

Fully-funded

Mentoring by AI/ML, HPC experts

Opportunities to be principal or team‑

Job summary

Waypoint Human Capital seeks an AI/ML Engineer to support government satellite programs. You will develop and evaluate ML algorithms for space-surveillance, working with optical and radar sensors, predictive models, and HPC environments.

The role requires experience in Python and/or C++, ML techniques, and data analysis, plus the ability to collaborate with AI/ML, astrodynamics, sensing and HPC experts. On-site in Chantilly, VA with active TS/SCI clearance.

Qualifications

• Degree in Computer Science, Data Science, Applied Math, or related field.
• Active TS/SCI with CI Polygraph test.
• Experience in Exploratory Data Analysis (EDA).
• Experience in designing, developing, and evaluating ML algorithms (supervised/unsupervised/RL).
• Experience building, training, and tuning predictive models.
• Experience implementing and optimizing algorithms (anomaly detection, prediction, classification, optimization, clustering).
• Experience developing High-Performance Computing pipelines for scalability/monitoring.
• Proficiency in Python and/or C++.
• Ability to conduct independent trade studies and technical assessments.
• Ability to review algorithms/results from external teams.

Responsibilities

• Analyze government satellite programs with modeling and simulation teams.
• Develop ML algorithms for space-surveillance using optical and radar data.
• Conduct Exploratory Data Analysis to identify patterns.
• Design, develop, and evaluate ML algorithms (supervised, unsupervised, RL).
• Build, train, and tune predictive models.
• Collaborate with cross‑functional teams to solve problems.
• Implement and optimize algorithms for anomaly detection, prediction, classification, clustering.
• Develop HPC pipelines for scalability and monitoring.
• Work with satellite designers/operations planners; with AI/ML, HPC experts.
• Prepare actionable technical briefings if needed.

Skills

Python

C++

Machine learning

Data analysis

Education

Computer Science

Data Science

Applied Math

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.

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.