Space ML Engineer II-III — Onsite, Denver/Long Beach

True Anomaly, Inc.; Denver, Northern (CO, KY); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Equity

Health benefits

Dental

Vision

HRA/HSA

PTO

Job summary

True Anomaly, Inc. in Denver or Long Beach is seeking a Machine Learning Engineer II-III to design and deploy ML/AI capabilities for space domain awareness and autonomous systems.

You will collaborate with senior engineers on model development, data pipelines, and evaluation, writing Python code and advancing mission-critical software. A degree with 2–4 years experience or a Master's qualifies you, with strong Python and ML framework skills and a passion for space.

Qualifications

• Degree in CS/ML/DS/EE or related field; 2–4 years experience, or Master's in one of these fields with no experience required.
• Proficient in Python
• Foundational ML concepts: supervised/unsupervised learning and evaluation
• Exposure to PyTorch, TensorFlow, or JAX
• Strong math: linear algebra, statistics, probability
• Eager to learn and grow in a fast-paced, mission-driven environment
• Passion for spaceflight and space security

Responsibilities

• Assist in the development, training, and evaluation of ML models across 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 Python code as part of a collaborative engineering team
• Learn and grow alongside senior engineers, contributing meaningfully from day one

Skills

Python

Machine learning

PyTorch

TensorFlow

JAX

Math fundamentals

Data-driven decisions

Space domain interest

Education

Bachelor's degree in CS/ML/DS/EE or related

Master's degree in one of these fields with no experience

Tools

PyTorch

TensorFlow

JAX

Job description

True Anomaly, Inc. in Denver or Long Beach is seeking a Machine Learning Engineer II-III to design and deploy ML/AI capabilities for space domain awareness and autonomous systems.

You will collaborate with senior engineers on model development, data pipelines, and evaluation, writing Python code and advancing mission-critical software. A degree with 2–4 years experience or a Master's qualifies you, with strong Python and ML framework skills and a passion for space.