Space ML Engineer: Trajectory & Anomaly Analytics

The Judge Group; Westminster (CO); On-site; USD 120,000 - 180,000; Full time

Job summary

The Judge Group is seeking a Data Science Engineer to build and support advanced ML capabilities for Space Domain Awareness analytics systems. You will develop trajectory classification and anomaly detection models, maintain scalable analytics pipelines, and create robust evaluation frameworks for sparse observational data.

The ideal candidate combines strong ML with software engineering and has experience with time-series, state-estimation, or tracking systems.

Qualifications

• Bachelor's or Master's degree in a quantitative field (CS/Math/Physics/Engineering).
• 4+ years of experience developing and deploying ML solutions.
• Proficient in Python and NumPy/SciPy/Pandas.
• Experience with PyTorch.
• Experience with time-series/tracking/state-estimation data.
• Ability to obtain and maintain a U.S. Security Clearance.

Responsibilities

• Develop AI/ML models for trajectory classification across orbital regimes and object families.
• Build anomaly detection models to identify unusual dynamical behavior and emerging patterns.
• Design, integrate, and maintain end-to-end analytical pipelines covering observation processing, orbit estimation, propagation, hypothesis generation, and classification.
• Develop benchmarking and evaluation frameworks to assess model accuracy, convergence behavior, false-positive and false-negative rates, confidence calibration, and performance under degraded observation conditions.
• Design experiments that validate model generalization through held-out datasets, data degradation studies, and independent benchmark comparisons.
• Create calibrated confidence and uncertainty metrics suitable for operational decision-making.
• Partner with embedded systems engineers to optimize model size, memory usage, and inference latency for resource-constrained environments.
• Implement model optimization techniques such as quantization, pruning, and architecture simplification.
• Contribute to systems engineering activities, including data flow design, model lifecycle management, retraining strategies, and technology roadmap planning.
• Maintain a high-quality, reproducible, and well-documented codebase using software engineering best practices.

Skills

Python

NumPy SciPy Pandas

PyTorch

Time-series data

ML deployment

Model evaluation

Software engineering

Technical writing

Clearance eligibility

Education

Bachelor's or Master's in a quantitative field

Tools

Git

Docker

CI/CD

Job description

The Judge Group is seeking a Data Science Engineer to build and support advanced ML capabilities for Space Domain Awareness analytics systems. You will develop trajectory classification and anomaly detection models, maintain scalable analytics pipelines, and create robust evaluation frameworks for sparse observational data.

The ideal candidate combines strong ML with software engineering and has experience with time-series, state-estimation, or tracking systems.