Machine Learning Engineer (Space Agentic AI)

• True Anomaly, a pioneering company in space security. As a Machine Learning Engineer, you will contribute to the design and development of AI capabilities for space domain awareness.
• Contribuer à la conception et au développement de capacités d'apprentissage automatique et d'IA pour True Anomaly.

Responsibilities

• You will work alongside experienced engineers, support the development of models and pipelines, and assist in data ingestion, preprocessing, and feature engineering.
• You will also run experiments, track results, and contribute to model evaluation and iteration.
• Assister au développement, à l'entraînement et à l'évaluation de modèles d'apprentissage automatique pour des tâches pertinentes.
• Écrire du code Python propre, documenté et testable dans le cadre d'une équipe d'ingénierie collaborative.
• Foundational understanding of machine learning concepts including supervised learning, unsupervised learning, and model evaluation
• Passion for spaceflight and advancing capabilities related to space domain awareness and space security
• Strong mathematical fundamentals in linear algebra, statistics, and probability

Requirements

Proficiency in Python

• Exposure to ML frameworks such as PyTorch, TensorFlow, or JAX through coursework, research, or personal projects
• Eagerness to learn, take feedback, and grow in a fast-paced, mission-driven environment
• Bachelor's degree in computer science, machine learning, data science, electrical engineering, or a similar discipline, plus 2-4 years of experience; or a Master's degree in one of these fields with no experience required
• To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State

Preferred

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

Pay

USD 125,000 - 220,000

Benefits

• This is a unique opportunity to make a meaningful impact in the field of space security while enjoying a comprehensive benefits package, including 100% employer-sponsored healthcare, generous time off, equity options, and 401k options.