Staff Engineer Material Process 17369
Northrop Grumman · Roy, UT · 2 wk ago
On-siteInformation TechnologyFull-time
About the role
The role involves developing advanced algorithms for autonomous systems, focusing on machine learning and artificial intelligence applications.
Responsibilities
- Design and implement machine learning models for autonomous vehicle navigation
- Collaborate with cross-functional teams to integrate AI solutions into existing systems
- Analyze data to improve model accuracy and efficiency
- Contribute to the development of new AI technologies and methodologies
Requirements
- Bachelor's degree in Computer Science, Electrical Engineering, or related field
- 3+ years of experience in machine learning and AI
- Strong proficiency in Python and TensorFlow
- Experience with deep learning frameworks such as PyTorch or Keras
- Excellent problem-solving skills and ability to work independently
Qualifications
- Passionate about cutting-edge technology and innovation
- Ability to work in a fast-paced, dynamic environment
- Good communication and collaboration skills
Skills
- Machine Learning
- Deep Learning
- Data Analysis
- Python
- TensorFlow
- PyTorch
Benefits
Competitive compensation package, comprehensive health insurance, generous vacation time, professional development opportunities, and more.
Pay
$100,000 - $120,000 annually
Schedule
Full-time, Monday through Friday, 9 AM to 5 PM