Machine Learning Engineer; Space Agentic AI

• 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

• 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 Python Exposure to ML frameworks such as PyTorch, Tensor Flow, or JAX through coursework, research, or personal projects

Eagerness to learn, take feedback, and grow in a fast-paced, mission-driven environment

Foundational understanding of machine learning concepts including supervised learning, unsupervised learning, and model evaluation

Passion for spaceflight and advancing capabilities related to space domain awareness and space security

Strong mathematical fundamentals in linear algebra, statistics, and probability

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

To 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 State Internship, research, or project experience applying ML to real-world or research datasets

Familiarity with classification, regression, clustering, or anomaly detection techniques

Exposure to MLOps concepts such as experiment tracking or model versioning

Experience with version control (Git) and basic software engineering practices

Coursework or project work in deep learning, computer vision, or time-series analysis