Principal Facilities Planner
Northrop Grumman · El Segundo, CA · 1 mo ago
On-siteManufacturingFull-time
About the role
The role involves developing advanced algorithms for autonomous systems. This includes designing machine learning models and integrating them into complex software systems.
Responsibilities
- Develop and optimize machine learning models for autonomous vehicle navigation
- Collaborate with cross-functional teams to integrate AI solutions into product development
- Conduct research on emerging technologies and apply findings to improve system performance
- Write comprehensive documentation for model deployment and maintenance
Requirements
- Bachelor's degree in Computer Science, Electrical Engineering, or related field
- 3+ years of experience in machine learning and software development
- Proficiency in Python, C++, and cloud computing platforms like AWS or Google Cloud
- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch
- Excellent problem-solving skills and ability to work independently and in a team environment
Qualifications
- Passionate about advancing technology and making a difference in the field of autonomous systems
- Experience with ethical considerations in AI and machine learning
- Knowledge of cybersecurity principles and practices
Skills
- Machine Learning
- Software Development
- Cloud Computing
- Deep Learning
- Python
- C++
Benefits
- Competitive salary and benefits package
- Flexible working hours and remote work options
- Professional development opportunities and training programs
- Access to cutting-edge technology and resources
Pay
$100,000 - $120,000 annually
Schedule
Full-time, Monday through Friday, 9 AM to 5 PM