AI/ML Engineer (Space Programs)

Job Description

BOAB Ventures is seeking an AI/ML Engineer to support advanced modeling, simulation, and analytical efforts for government space programs. This position focuses on developing machine learning algorithms that support satellite identification, space surveillance, sensor optimization, and satellite operations.

The ideal candidate brings a strong foundation in machine learning, applied mathematics, and software development, with an interest in solving complex challenges involving space systems and high-performance computing.

What You'll Do

• Design, develop, train, and evaluate machine learning algorithms for space-related applications.
• Analyze optical and radar sensor data to support satellite recognition, classification, and tracking.
• Develop algorithms to optimize space surveillance sensor scheduling and satellite activity planning.
• Conduct exploratory data analysis to identify patterns, trends, and anomalies.
• Apply supervised, unsupervised, and reinforcement learning techniques to complex technical problems.
• Build and optimize predictive models for anomaly detection, classification, clustering, and decision support.
• Develop scalable high-performance computing pipelines for algorithm execution and monitoring.
• Collaborate with specialists in astrodynamics, satellite systems, sensors, and modeling and simulation.
• Develop analytical tools and software using Python, C++, or similar programming languages.
• Conduct independent technical assessments, trade studies, and algorithm validation.
• Prepare technical documentation, findings, and briefings for engineering teams and stakeholders.

Required Skills

• Bachelor's degree in Computer Science, Data Science, Applied Mathematics, or a related technical field.
• Professional experience developing and implementing machine learning algorithms.
• Proficiency in Python, C++, or comparable programming languages.
• Experience with data analysis, predictive modeling, and algorithm evaluation.
• Understanding of supervised and unsupervised machine learning methodologies.
• Ability to conduct independent technical analysis and communicate results effectively.
• Active TS/SCI clearance.
• Current CI polygraph or ability to successfully complete one.

Desired Skills

• Experience with reinforcement learning, optimization, or autonomous decision-making algorithms.
• Familiarity with satellite systems, space surveillance, or space domain awareness.
• Experience processing optical, radar, or other sensor-derived datasets.
• Experience developing scalable high-performance computing workflows.
• Background in modeling and simulation for aerospace or defense applications.
• Experience collaborating with multidisciplinary scientific and engineering teams.
• Ability to lead technical efforts or mentor junior engineers.