Machine Learning Engineer (Space Agentic 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

• As a member of the Applied Algorithms and Autonomy team, you will contribute to the design and development of machine learning and AI capabilities for True Anomaly
• Working alongside experienced engineers, you will support the development of models and pipelines that enable object classification, anomaly detection, and data-driven decision-making
• 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

Benefits

• 100% Employer-Sponsored Healthcare: We’ve got you covered! Our comprehensive healthcare package is fully sponsored, ensuring you and your loved ones stay healthy and worry-free, so you can focus on shaping the future of space security.
• Generous Time Off: We believe in working hard and recharging fully. Our generous vacation policy gives you the flexibility to take the time you need to relax, explore, and come back energized to take on new challenges.
• Equity: Own an equity stake in True Anomaly as you build something transformative. With equity options, you’re not just working for True Anomaly; you’re an owner. As an essential part of our growth and future success, we want you to share in the upside potential!
• 401k and Roth 401k options: Plan for tomorrow with our 401K and Roth 401K options that put you in control of your financial future.
• Learning & Development Opportunities: Your growth fuels our innovation. We’re committed to providing you with the resources and training to expand your skills, spark new ideas, and advance your career with us.

Proficiency in PythonExposure to ML frameworks such as PyTorch, TensorFlow, or JAX through coursework, research, or personal projectsEagerness to learn, take feedback, and grow in a fast-paced, mission-driven environmentFoundational understanding of machine learning concepts including supervised learning, unsupervised learning, and model evaluationPassion for spaceflight and advancing capabilities related to space domain awareness and space securityStrong mathematical fundamentals in linear algebra, statistics, and probabilityBachelor’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 requiredTo conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of StateInternship, research, or project experience applying ML to real-world or research datasetsFamiliarity with classification, regression, clustering, or anomaly detection techniquesExposure to MLOps concepts such as experiment tracking or model versioningExperience with version control (Git) and basic software engineering practicesCoursework or project work in deep learning, computer vision, or time-series analysis