Precision Electromechanical Assembler 3
Northrop Grumman · Salt Lake City, UT · 3 wk ago
On-siteManufacturingFull-time
About the role
The role involves developing advanced algorithms for autonomous systems. This includes designing and implementing machine learning models, conducting performance evaluations, and collaborating with cross-functional teams.
Responsibilities
- Develop and optimize machine learning models for autonomous systems
- Conduct performance evaluations and analyze results
- Collaborate with software engineers and system architects
- Stay updated with the latest research in AI and machine learning
Requirements
Must have a Master's degree in Computer Science, Electrical Engineering, or a related field. Experience with Python, TensorFlow, and Kubernetes is preferred.
Qualifications
- Strong background in machine learning and computer science
- Experience with Python and TensorFlow
- Knowledge of Kubernetes and cloud computing
- Excellent problem-solving and analytical skills
Skills
- Machine Learning
- Python
- TensorFlow
- Kubernetes
- Cloud Computing
Benefits
Competitive salary, comprehensive health insurance, flexible work schedule, professional development opportunities, and a supportive team environment.
Pay
$80,000 - $100,000 annually
Schedule
Full-time, Monday through Friday, 9 AM to 5 PM