Machine Learning Engineer (II-III), Space Agentic AI
Core
Design and develop machine learning and AI capabilities for autonomous spacecraft, mission software, and space-based interceptors to enable object classification, anomaly detection, and data-driven decision-making.
Role type
Machine Learning Engineer (IC)
Builds
ML models and pipelines for space domain awareness and security
Domain
Aerospace / Defense / Space Systems
Deliverable
production ML models
Required skills
Python, supervised learning, unsupervised learning, model evaluation, linear algebra, statistics, probability
Preferred skills
anomaly detection, classification, regression, clustering, deep learning, computer vision, time-series analysis, MLOps, experiment tracking, Git
Technologies
PyTorch, TensorFlow, JAX
Responsibilities
Develop, train, and evaluate ML models for mission-relevant tasks; support data ingestion, preprocessing, and feature engineering pipelines; run experiments and track results; write clean, documented, and testable Python code
Seniority
Mid-level (2-4 years exp) to Senior (Master's degree)