Machine Learning Engineer (II-III), Space Agentic AI
True Anomaly5 hours ago
Denver, CO, USAMid Level / Senior
Base Salary
$125k - $220k/yr
Responsibilities
- Assist with developing, training, and evaluating machine learning models for 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.
- Collaborate with senior engineers and contribute to the Applied Algorithms and Autonomy team.
Requirements
- 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 supervised learning, unsupervised learning, and model evaluation.
- Exposure to PyTorch, TensorFlow, or JAX through coursework, research, or personal projects.
- Strong fundamentals in linear algebra, statistics, and probability.
- Preferred experience includes ML internships, research, or projects using real-world or research datasets.
- Preferred familiarity includes classification, regression, clustering, anomaly detection, Git, software engineering practices, MLOps, deep learning, computer vision, or time-series analysis.
Benefits
- Base salary of $125,000–$220,000 plus equity and benefits.
- Health, dental, vision, HRA/HSA options, PTO, paid holidays, 401(k), and parental leave.
- Fully onsite work in the Denver or Long Beach office with daily commuting required.
- Employment is subject to U.S. Government space technology export regulations, including ITAR eligibility requirements.
Categories
About True Anomaly
True Anomaly builds spacecraft and software for space defense, including autonomous satellites, precision-sensing payloads, mission command-and-control software, and space-based interceptors for national security and commercial operators. Founded in 2022 by former U.S. Space Force members, it is privately held and headquartered in Englewood, Colorado. The company sells hardware, AI-enabled flight software, and mission operations services to U.S. and allied defense programs and space infrastructure providers.