Machine Learning Engineer, True Anomaly

• Bachelor's degree in computer science, machine learning, data science, electrical engineering, or a similar discipline
• Proficient in Python
• Foundational understanding of machine learning concepts including supervised learning, unsupervised learning, and model evaluation
• Exposure to ML frameworks such as PyTorch, TensorFlow, or JAX through coursework, research, or personal projects
• Strong mathematical fundamentals in linear algebra, statistics, and probability
• Eagerness to learn, take feedback, and grow in a fast-paced, mission-driven environment
• Passion for spaceflight and advancing capabilities related to space domain awareness and space security
• You are curious, driven, and eager to grow — someone who takes ownership of their work and isn't afraid to tackle hard problems
• Work environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job
• Physical demands—the physical demands of the job, including bending, sitting, lifting and driving

Desirable

• As a member of the Applied Algorithms and Autonomy team, you will contribute to the design and development of machine learning and AI capabilities for True Anomaly
• Working alongside experienced engineers, you will support the development of models and pipelines that enable object classification, anomaly detection, and data-driven decision-making
• Assist in the development, training, and evaluation of ML models across a range of mission-relevant tasks
• Support data ingestion, preprocessing, and feature engineering pipelines
• Run experiments, track results, and contribute to model evaluation and iteration
• Write clean, documented, and testable Python code as part of a collaborative engineering team
• Learn and grow alongside senior engineers, contributing meaningfully from day one