Machine Learning Engineer (I-III)

Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.

YOUR MISSION

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. You are curious, driven, and eager to grow — someone who takes ownership of their work and isn’t afraid to tackle hard problems.

RESPONSIBILITIES

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

QUALIFICATIONS

Bachelor’s degree in computer science, machine learning, data science, electrical engineering, or a similar discipline Proficient in Python Foundational understanding of machine learning concepts including supervised learning, unsupervised learning, and model evaluation Exposure to ML frameworks such as PyTorch, TensorFlow, or JAX through coursework, research, or personal projects Strong mathematical fundamentals in linear algebra, statistics, and probability Eagerness to learn, take feedback, and grow in a fast‑paced, mission‑driven environment Passion for spaceflight and advancing capabilities related to space domain awareness and space security

PREFERRED SKILLS AND EXPERIENCE

Internship, research, or project experience applying ML to real‑world or research datasets Familiarity with classification, regression, clustering, or anomaly detection techniques Experience with version control (Git) and basic software engineering practices Exposure to MLOps concepts such as experiment tracking or model versioning Coursework or project work in deep learning, computer vision, or time‑series analysis

COMPENSATION

Base Salary: $105,000 - $220,000 Equity + Benefits: including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401(k), Parental Leave

ADDITIONAL REQUIREMENTS

Work Location — this is a fully onsite role. Candidates must be based in or able to commute to our Denver or Long Beach office daily. Physical demands — the physical demands of the job, including bending, sitting, lifting and driving. This position will be open until it is successfully filled.

ITAR & EEO STATEMENTS

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. True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. #J-18808-Ljbffr Menlo Ventures