Autonomy Software Integration and Test Lead
Northrop Grumman · El Segundo, CA · 1 wk 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 validate model performance and reliability.
- Collaborate with cross-functional teams to integrate models into operational systems.
- Stay updated with the latest research and technologies in AI and machine learning.
Requirements
- Bachelor's degree in Computer Science, Engineering, or related field.
- 3+ years of experience in machine learning and software development.
- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.
- Experience with cloud platforms like AWS or Google Cloud.
- Excellent problem-solving skills and ability to work independently.
Qualifications
- Proficiency in Python and other programming languages.
- Knowledge of statistical analysis and data science tools.
- Experience with data preprocessing and feature engineering.
- Good communication and collaboration skills.
Skills
- Deep Learning
- Machine Learning
- Data Science
- Cloud Computing
- Python
Benefits
This role offers competitive compensation, comprehensive health benefits, and opportunities for professional growth within a leading technology company.
Pay
$80,000 - $100,000 annually, depending on experience.
Schedule
Full-time, Monday through Friday, with occasional evening and weekend work as needed.