Machine Learning Engineer (II-III), Space Agentic AI

True Anomaly develops autonomous spacecraft, advanced payloads, mission software, and space-based interceptors to support space superiority and security. The Machine Learning Engineer will help develop, train, and evaluate machine learning models and data pipelines for object classification, anomaly detection, and data-driven decision-making.

What you'll do:

• 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

What they're looking for:

• 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
• Proficiency 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
• Candidates must be based in or able to commute to our Denver or Long Beach office daily
• 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
• Internship, research, or project experience applying ML to real-world or research datasets
• Familiarity with classification, regression, clustering, or anomaly detection techniques
• Experience with version control (Git) and basic software engineering practices

Benefits:

• Equity
• Health benefits
• Dental benefits
• Vision benefits
• HRA/HSA options
• PTO
• Paid holidays
• 401K
• Parental leave