Machine Learning Engineer (II-III), Space Edge Deployment

Sourced from feeny.ai

True Anomaly builds autonomous spacecraft, payloads, and mission software for space superiority. As a Machine Learning Engineer on the Applied Algorithms and Autonomy team, you will develop ML models and pipelines for object classification, anomaly detection, and data-driven decision-making. This is a fully onsite role in Denver or Long Beach, requiring U.S. person status under ITAR.

• Develop, train, and evaluate ML models for mission-relevant tasks
• Support data ingestion, preprocessing, and feature engineering pipelines
• Run experiments, track results, and iterate on model evaluation
• Write clean, documented, and testable Python code within a collaborative team
• Learn from and contribute alongside senior engineers

• Bachelor's degree in CS, ML, data science, EE, or similar plus 2-4 years of experience, or a Master's degree with no experience required
• Proficiency in Python
• Foundational understanding of supervised and unsupervised learning and model evaluation
• Exposure to ML frameworks such as PyTorch, TensorFlow, or JAX
• Strong math fundamentals in linear algebra, statistics, and probability
• U.S. citizen, lawful permanent resident, or otherwise ITAR-eligible

• Internship, research, or project experience applying ML to real datasets
• Familiarity with classification, regression, clustering, or anomaly detection
• Experience with Git and basic software engineering practices
• Exposure to MLOps concepts such as experiment tracking or model versioning
• Coursework or projects in deep learning, computer vision, or time-series analysis