Lead ML Engineer for Autonomous Systems

General Atomics Aeronautical Systems; Poway (CA); On-site; USD 119,000 - 208,000; Full time

Job summary

General Atomics Aeronautical Systems, Inc. (GA-ASI) seeks an experienced machine learning engineer to lead teams, develop advanced ML models, and translate research into deployable software in a defense-focused environment.

You will apply deep learning, statistical modeling, and robust software practices while coordinating with cross-functional groups. DoD clearance is required for ongoing projects, with demanding milestones and evolving technology.

Qualifications

• Requires advanced machine learning knowledge and theory.
• Five+ years with a bachelor or three+ years with a masters; equivalent ML experience possible.
• Ability to apply cutting-edge ML techniques with diagnostics and safety compliance.

Responsibilities

• Supervisory role leading technical teams.
• Develop descriptive, diagnostic, predictive and prescriptive ML insights.
• Translate algorithms into code and perform testing and debugging.
• Apply deep learning to enable visualization, learning and responsive systems.
• Drive DevSecOps and MLOps best practices and code reviews.

Skills

Machine Learning

Programming

Communication

Teamwork

DoD clearance

Education

Bachelors/Masters/PhD in CS/Engineering/Math

Tools

Python

TensorFlow

PyTorch

Job description

General Atomics Aeronautical Systems, Inc. (GA-ASI) seeks an experienced machine learning engineer to lead teams, develop advanced ML models, and translate research into deployable software in a defense-focused environment.

You will apply deep learning, statistical modeling, and robust software practices while coordinating with cross-functional groups. DoD clearance is required for ongoing projects, with demanding milestones and evolving technology.