Junior ML Engineer, Autonomy & Edge AI

General Atomics

Poway (CA)

On-site

USD 84,000 - 141,000

Full time

3 days ago
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Job summary

General Atomics Aeronautical Systems, Inc. (GA-ASI) in Poway, CA, is seeking a Machine Learning Engineer to develop and deploy autonomous systems for UAS. The role involves applied ML, software development, and collaboration across vendors in a fast-evolving autonomy stack.

You will lead technical teams, implement DevSecOps/MLOps practices, and adapt ML to AR/VR and robotics contexts while maintaining security clearances and compliance as required.

Qualifications

  • Typically requires a bachelor's degree in a technical field.
  • Experience in scalable software architectures from scratch.
  • Experience in optimizing AI models for edge processing.
  • Strong coding skills in Java, JavaScript, C/C++, Python.
  • Experience with TensorFlow and PyTorch.
  • Ability to obtain and maintain a DoD security clearance.

Responsibilities

  • Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms of limited scope.
  • Uses machine learning techniques to improve product and data management.
  • Translates algorithms into code and performs testing and debugging.
  • Lead technical teams and manage sprint scope.
  • Drive code reviews and DevSecOps/MLOps practices.
  • Interface with external vendors to integrate technology into the autonomy stack.
  • Maintain confidentiality of sensitive information.

Skills

Java
JavaScript
C/C++
Python

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, or related technical discipline

Tools

TensorFlow
PyTorch

Job description

General Atomics Aeronautical Systems, Inc. (GA-ASI) in Poway, CA, is seeking a Machine Learning Engineer to develop and deploy autonomous systems for UAS. The role involves applied ML, software development, and collaboration across vendors in a fast-evolving autonomy stack.

You will lead technical teams, implement DevSecOps/MLOps practices, and adapt ML to AR/VR and robotics contexts while maintaining security clearances and compliance as required.

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