Machine Learning Engineer (II-III), Space Edge Deployment at True Anomaly

Department: Autonomy Engineering

Compensation · Listed in posting

$125,000 – $220,000/yr

Setup: On-site
Location: California
Type: Full-time
Level: mid
Posted: Sep 9, 2026

Description

True Anomaly is hiring a Machine Learning Engineer to support the design and development of machine learning and AI capabilities for space-domain applications. The role involves developing, training, and evaluating models; supporting data ingestion, preprocessing, and feature engineering; running experiments; and writing Python code. Candidates should have a relevant bachelor's degree plus 2–4 years of experience or a master's degree with no experience required, along with Python, machine learning, mathematical, and ML-framework knowledge. The position is fully onsite in Denver or Long Beach and offers a base salary of $125,000–$220,000 plus equity and benefits.

Required Skills

Python
Machine learning
PyTorch
Linear algebra
Feature engineering
Model evaluation
Git

Additional Information

Minimum Education: Bachelor's degree in computer science, machine learning, data science, electrical engineering, or a similar discipline, or a master's degree in one of these fields.
Required Previous Experiences: 2–4 years of professional experience for bachelor's-degree candidates.
Preferred Qualifications: ML experience with real-world or research datasets
Classification, regression, clustering, or anomaly detection
Git and software engineering practices
MLOps concepts
Deep learning, computer vision, or time-series analysis
Translation Company Name: True Anomaly