Edge ML Engineer for Space Autonomy

True Anomaly; Long Beach (CA); On-site; USD 125,000 - 220,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

PTO

401K

Parental Leave

HRA/HSA

Job summary

True Anomaly, based in Long Beach, CA, seeks a passionate applicant to join the Applied Algorithms and Autonomy team. You will contribute to ML/AI capabilities for space-domain awareness, building models and pipelines for object classification and anomaly detection while collaborating with experienced engineers.

Expect a fast-paced, mission-driven environment with opportunities to learn, grow, and contribute from day one, including hands-on coding in Python and model evaluation across tasks.

Qualifications

• Bachelor's degree in computer science, machine learning, data science, electrical engineering, or similar with 2–4 years of experience; or a Master’s with no experience required.
• Proficiency in Python.
• Foundational ML concepts including supervised/unsupervised learning and model evaluation.
• Exposure to ML frameworks such as PyTorch, TensorFlow, or JAX.
• Strong mathematical fundamentals in linear algebra, statistics, and probability.

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, 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

PyTorch

TensorFlow

JAX

Linear algebra

Statistics

Probability

Deep learning

ML experiments

Education

Bachelor's degree in CS/ML/Data science

Master's degree in related field

Tools

Git

MLOps

Model versioning

Job description

True Anomaly, based in Long Beach, CA, seeks a passionate applicant to join the Applied Algorithms and Autonomy team. You will contribute to ML/AI capabilities for space-domain awareness, building models and pipelines for object classification and anomaly detection while collaborating with experienced engineers.

Expect a fast-paced, mission-driven environment with opportunities to learn, grow, and contribute from day one, including hands-on coding in Python and model evaluation across tasks.