Space Autonomy ML Engineer

trueanomalyinc; Denver (CO); On-site; USD 125,000 - 220,000; Full time

Job summary

True Anomaly is seeking an Applied Algorithms and Autonomy engineer to design and develop ML/AI capabilities for space-domain awareness. You will work with experienced engineers to support models and data pipelines that enable object classification, anomaly detection, and data-driven decision making.

You are curious, driven, and ready to own your work while tackling hard problems on a mission-driven team. A Bachelor's or Master's in CS/ML/EE with Python and ML framework exposure is required;

Qualifications

• Bachelor's degree in computer science, machine learning, data science, electrical engineering, or similar, plus 2-4 years of experience; or a Master's degree with no experience required.
• Proficiency in Python.
• Foundational understanding of machine learning concepts including supervised and unsupervised learning and model evaluation.
• Exposure to ML frameworks such as PyTorch, TensorFlow, or JAX.
• Strong mathematical fundamentals in linear algebra, statistics, and probability.
• Eagerness to learn and grow in a fast-paced, mission-driven environment.
• Passion for spaceflight and advancing capabilities related to space domain awareness and space security.

Responsibilities

• Assist in the development, training, and evaluation of ML models across 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 Python code as part of a collaborative engineering team.
• Learn and grow alongside senior engineers and contribute meaningfully from day one.

Skills

Python

ML fundamentals

Adaptability

Curiosity

Team collaboration

Education

Bachelor's degree in CS/ML/EE

Master's degree (no experience required)

Tools

PyTorch

TensorFlow

JAX

Job description

True Anomaly is seeking an Applied Algorithms and Autonomy engineer to design and develop ML/AI capabilities for space-domain awareness. You will work with experienced engineers to support models and data pipelines that enable object classification, anomaly detection, and data-driven decision making.

You are curious, driven, and ready to own your work while tackling hard problems on a mission-driven team. A Bachelor's or Master's in CS/ML/EE with Python and ML framework exposure is required;