Machine Learning Engineer at True Anomaly in Denver, CO

Summary: True Anomaly is focused on delivering decisive capabilities for space superiority. As a Machine Learning Engineer, you will contribute to the design and development of machine learning and AI capabilities, supporting the development of models and pipelines for object classification and anomaly detection. Responsibilities: - 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 Required Qualifications: - 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 - Work Location— this is a fully onsite role. 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 Preferred Qualifications: - 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 - Exposure to MLOps concepts such as experiment tracking or model versioning - Coursework or project work in deep learning, computer vision, or time-series analysis Required Skills: Python, Machine learning, Supervised learning, Unsupervised learning, Model evaluation, PyTorch, TensorFlow, JAX, Linear algebra, Statistics, Probability, Classification, Regression, Clustering, Anomaly detection, Version control, Git, Deep learning, Computer vision, Time-series analysis, Passion for spaceflight Benefits: Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave, Work Location— this is a fully onsite role. Candidates must be based in or able to commute to our Denver or Long Beach office daily.