Drimva

Voyager Technologies

Machine Learning Engineer - Mid-Level

$160K–$210K

El Segundo, CA +1 · Full-time · Posted Aug 17, 2026

Location
El Segundo, CA
El Segundo, California, United States
Experience
5–15 years of applicable experience.
Education
Bachelor's degree in engineering or related field; Master's degree preferred.
Visa sponsorship
Must be a U.S. Person (U.S. citizen, lawful permanent resident, or protected individual) and eligible to obtain required export authorizations. The clearance requirement states U.S. citizenship.

About the job

Develop and deploy deep learning and machine learning methods for computer vision, SAR, and geospatial exploitation problems supporting U.S. government customers.

What you'll do

  • Design, prototype, and implement neural network architectures and other machine learning models for object detection and classification.
  • Develop SAR preprocessing, physics simulations, and methods to improve model generalization and address simulated-to-real data bias.
  • Define performance assessments, deliver production-quality code, and present work at meetings and conferences.

What they ask for

  • Must be able to obtain and maintain a U.S. government clearance; requires U.S. citizenship.
  • 5–15 years of applicable experience.
  • Bachelor's degree in engineering or a related field.

Nice to have

  • Master's degree; strong machine learning background, preferably deep neural networks; familiarity with radar sensing phenomenology.
  • Open-source framework familiarity or ability to program in multiple languages, including Python, Matlab, and C/C++.

Pay

$160,000.00 to $210,000.00 USD base salary; $160,000 — $210,000 USD (California pay range; base salary)

Tools

Python, Matlab, C/C++

AI focus

Research, develop, and apply deep learning and other machine learning models for computer vision, SAR, and geospatial exploitation, including object detection, classification, and model generalization.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 4, 2026 (UTC)