Machine Learning Engineer (II-III), Space Edge Deployment

Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.OUR MISSIONTrue Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.OUR VALUESBe the offset. We create asymmetric advantages with creativity and ingenuity.What would it take? We challenge assumptions to deliver ambitious results.It’s the people. Our team is our competitive advantage and we are better together.YOUR MISSIONAs 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.RESPONSIBILITIESAssist in the development, training, and evaluation of ML models across a range of mission-relevant tasksSupport data ingestion, preprocessing, and feature engineering pipelinesRun experiments, track results, and contribute to model evaluation and iterationWrite clean, documented, and testable Python code as part of a collaborative engineering teamLearn and grow alongside senior engineers, contributing meaningfully from day oneQUALIFICATIONSBachelor'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.Proficiency in PythonFoundational understanding of machine learning concepts including supervised learning, unsupervised learning, and model evaluationExposure to ML frameworks such as PyTorch, TensorFlow, or JAX through coursework, research, or personal projectsStrong mathematical fundamentals in linear algebra, statistics, and probabilityEagerness to learn, take feedback, and grow in a fast-paced, mission-driven environmentPassion for spaceflight and advancing capabilities related to space domain awareness and space securityPREFERRED SKILLS AND EXPERIENCEInternship, research, or project experience applying ML to real-world or research datasetsFamiliarity with classification, regression, clustering, or anomaly detection techniquesExperience with version control (Git) and basic software engineering practicesExposure to MLOps concepts such as experiment tracking or model versioningCoursework or project work in deep learning, computer vision, or time-series analysisCOMPENSATIONBase Salary: $125,000 - $220,000Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience. ADDITIONAL REQUIREMENTSWork Location— this is a fully onsite role. Candidates must be based in or able to commute to our Denver or Long Beach office daily. Work environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.Physical demands—the physical demands of the job, including bending, sitting, lifting and driving.This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite 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.