Space ML Engineer: Autonomy & Anomaly AI

True Anomaly; Long Beach (CA); On-site; USD 125,000 - 160,000; Full time

Benefits offered by this job

Healthcare

Paid time off

Equity

401k

Learning & Development

Job summary

True Anomaly in Long Beach, CA seeks a driven ML/AI engineer on the Applied Algorithms and Autonomy team. You will contribute to modeling for object classification, anomaly detection, and data-driven decisions, collaborating with senior engineers on pipeline development and model evaluation.

The role emphasizes Python, ML fundamentals, and hands-on experimentation in a fast-paced space-security mission context. A passion for spaceflight and ongoing learning is essential.

Qualifications

• Bachelor’s degree in CS/ML/DS/EE or related field, plus 2–4 years experience; or Master’s with no experience.
• Proficiency in Python; exposure to ML frameworks such as PyTorch, TensorFlow, or JAX through coursework, research, or personal projects.
• Foundational understanding of machine learning concepts including supervised learning, unsupervised learning, and model evaluation.
• Strong mathematical fundamentals in linear algebra, statistics, and probability.
• ITAR/compliance eligibility to work in U.S. space tech.

Responsibilities

• Contribute to the design and development of ML/AI capabilities for True Anomaly.
• Support development of models and pipelines for object classification, anomaly detection, and data-driven decisions.
• Assist in training, evaluation, and deployment of ML models across mission-relevant tasks.
• Ingest, preprocess, and engineer features for ML pipelines.
• Run experiments, track results, and document code in a collaborative team.

Skills

Python programming

ML fundamentals

Space domain knowledge

Eagerness to learn

Experiment tracking

Education

Bachelor’s degree in CS/ML/DS/EE or related field; 2–4 years experience OR Master’s with no experience

Tools

PyTorch

TensorFlow

JAX

Git

Job description

True Anomaly in Long Beach, CA seeks a driven ML/AI engineer on the Applied Algorithms and Autonomy team. You will contribute to modeling for object classification, anomaly detection, and data-driven decisions, collaborating with senior engineers on pipeline development and model evaluation.

The role emphasizes Python, ML fundamentals, and hands-on experimentation in a fast-paced space-security mission context. A passion for spaceflight and ongoing learning is essential.