Staff Safety Systems Engineer
Northrop Grumman · Oklahoma City, OK · 4 days ago
On-siteInformation TechnologyFull-time
About the role
The role involves developing advanced algorithms for autonomous systems. This includes designing and implementing machine learning models, conducting experiments, and analyzing results.
Responsibilities
- Develop and optimize machine learning models for autonomous systems
- Conduct experiments to test model performance and gather data
- Analyze experimental results and refine models accordingly
- Collaborate with cross-functional teams to integrate models into operational systems
Requirements
Required skills include proficiency in Python, experience with TensorFlow/Keras, and knowledge of reinforcement learning.
Qualifications
Minimum Bachelor's degree in Computer Science, Engineering, or related field. Prior experience in AI/ML projects is preferred.
Skills
- Python programming
- TensorFlow/Keras
- Reinforcement Learning
- Data analysis
Benefits
Competitive salary, comprehensive health insurance, flexible work schedule, professional development opportunities.
Pay
$80,000 - $100,000 annually
Schedule
Full-time, Monday through Friday, 9 AM to 5 PM