Space ML Engineer - Autonomy & Pipelines

True Anomaly, Inc.

Denver (CO)

On-site

USD 132,000 - 220,000

Full time

14 days+
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Benefits offered by this job

Health coverage
Flexible time off
Daily lunch
Dog Fridays
Equity

Job summary

True Anomaly, Inc. in Denver seeks a machine learning engineer to join the Applied Algorithms and Autonomy team. You will help design and build ML models and data pipelines for object classification, anomaly detection, and data-driven decision-making.

You will work with experienced engineers, write clean Python, and grow quickly in a mission-driven environment focused on space security. A solid ML foundation and a passion for spaceflight are required.

Qualifications

  • Bachelor's degree in computer science, machine learning, data science, electrical engineering, or similar, plus 2-4 years 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.

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.

Skills

Python
ML concepts
Model evaluation
PyTorch
TensorFlow
JAX
Linear algebra
Statistics
Probability

Education

Bachelor's degree in CS/ML
Master's degree in related field

Tools

Git

Job description

True Anomaly, Inc. in Denver seeks a machine learning engineer to join the Applied Algorithms and Autonomy team. You will help design and build ML models and data pipelines for object classification, anomaly detection, and data-driven decision-making.

You will work with experienced engineers, write clean Python, and grow quickly in a mission-driven environment focused on space security. A solid ML foundation and a passion for spaceflight are required.

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