Space ML Engineer II/III - Autonomy & AI

True Anomaly

Long Beach (CA)

On-site

USD 125,000 - 220,000

Full time

5 days ago
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Benefits offered by this job

Health, Dental, Vision benefits
401K and parental leave
PTO and paid holidays

Job summary

True Anomaly is seeking an Applied Algorithms and Autonomy specialist to advance ML/AI capabilities for space domain awareness. You will contribute to designing and developing models for object classification, anomaly detection, and data-driven decisions, working with experienced engineers in a hands-on environment.

Requirements include a BS in CS/ML/DS/EE with 2–4 years of experience (or a MS with no experience), strong Python skills, and familiarity with PyTorch, TensorFlow, or JAX.

Qualifications

  • Bachelor's degree in computer science, ML, data science, EE, or related field, plus 2–4 years of experience; or a Master's with no experience required.
  • Proficiency in Python.
  • Foundational understanding of ML concepts including supervised learning, unsupervised learning, and model evaluation.
  • Exposure to ML frameworks such as PyTorch, TensorFlow, or JAX.
  • Strong mathematical fundamentals in linear algebra, statistics, and probability.
  • Eagerness to learn 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 fundamentals
PyTorch
TensorFlow
JAX
Data preprocessing
Model evaluation

Education

Bachelor's degree in computer science, machine learning, data science, electrical engineering, or a similar discipline
Master's degree in one of these fields with no experience required

Tools

Git
Notebook environments

Job description

True Anomaly is seeking an Applied Algorithms and Autonomy specialist to advance ML/AI capabilities for space domain awareness. You will contribute to designing and developing models for object classification, anomaly detection, and data-driven decisions, working with experienced engineers in a hands-on environment.

Requirements include a BS in CS/ML/DS/EE with 2–4 years of experience (or a MS with no experience), strong Python skills, and familiarity with PyTorch, TensorFlow, or JAX.

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