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

Denver, COfull time

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On Site

mid

$125k–$220k

H1B: no

Trueanomalyinc Machine Learning Engineer (II-III) at True Anomaly develops and evaluates ML models for space mission tasks. Supports data pipelines and writes Python code within a collaborative team.

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

Qualification

Bachelor's degree in computer scienceProficiency in PythonEagerness to learnInternshipFamiliarity with classification

Required

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.
Proficiency 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

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

Benefits

Dental
Vision
401(k)
PTO
Equity/RSU
Parental Leave

Company

Trueanomalyinc

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Source: greenhouse

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