Principal Engineer Quality
Northrop Grumman · Plymouth, MN · 3 mo ago
On-siteQuality AssuranceFull-time
About the role
The role involves developing advanced algorithms for autonomous systems. This includes designing machine learning models, conducting experiments, and integrating these models into operational systems.
Responsibilities
- Develop and optimize machine learning models for autonomous systems
- Conduct experiments to test model performance and reliability
- Collaborate with cross-functional teams to integrate models into operational systems
- Stay updated with the latest advancements in AI and machine learning
Requirements
Required skills include proficiency in Python, experience with TensorFlow/Keras, and knowledge of reinforcement learning. Experience with autonomous systems and strong problem-solving skills are also essential.
Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field
- Minimum 3 years of relevant work experience
- Strong analytical and problem-solving skills
- Ability to work independently and as part of a team
Skills
- Python programming
- TensorFlow/Keras
- Reinforcement Learning
- Autonomous Systems
Benefits
This role offers competitive compensation, comprehensive health benefits, and opportunities for professional growth and development.
Pay
$80,000 - $100,000 annually
Schedule
Full-time, Monday through Friday, 9 AM to 5 PM