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# Machine Learning Engineer (II-III), Space Edge Deployment

- **Company:** True Anomaly
- **Location:** Long Beach, CA, United States
- **Experience:** Experienced
- **Salary:** $125,000.0 - $220,000.0
- **Contract:** Internship / Graduate position
- **Skills:** Computer Vision, Cluster Analysis, Data Transformation, Python (Programming Language), Machine Learning, Tensorflow, Supervised Learning, Feature Engineering, Data Ingestion, Pytorch, Deep Learning, Model Validation, Git, Information Technology, Machine Learning Operations, Software Version Control, Unsupervised Learning
- **Published:** September 10, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9154625/machine-learning-engineer-ii-iii-space-edge-deployment

## About the Role

* 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

PREFERRED SKILLS AND EXPERIENCE

 * 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

## Description

* 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, * 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.
 * 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.

This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite


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