Artificial Intelligence / Machine Learning Research and Development Engineer

$76,700 - $129,500/Yr

Pennsylvania State University - State College, PA

Full-time - Entry Level

State College, PA

Educational Services

About the position

The Artificial Intelligence / Machine Learning Research and Development Engineer position at Penn State University involves researching, developing, and delivering machine learning and artificial intelligence solutions to address complex problems for sponsors. The role requires designing and implementing machine learning systems, performing statistical analyses, and generating technical reports, all while working in a classified environment.

Responsibilities

• Design, develop, and research machine learning systems, models, and schemes
• Study, transform, and apply state-of-the-art machine learning prototypes to sponsor-specific domains
• Visualize data for deeper insights
• Generate and present technical research reports and briefings
• Perform statistical analysis in support of pattern of life and anomaly detection
• Build high-quality software prototypes integrated with various research and pre-production software environments

Requirements

• Bachelor's degree in an Engineering or Science discipline
• Experience in data science/algorithm development
• Proficiency in Python for data science/machine learning
• Research, development, and implementation of machine learning models

Nice-to-haves

• Master's degree in a relevant field
• Experience training and optimizing ML algorithms on GPU hardware architectures, specifically NVIDIA
• Knowledge of statistics, linear algebra, and data structures
• Experience with exploratory data analysis and visualization
• Familiarity with data science/machine learning tools such as Pandas, PyTorch/TensorFlow, NumPy, MatPlotLib, SQL, FastAPI
• Experience with software development tools including Git, Docker, Kubernetes, SSH
• Active TS/SCI Clearance

Benefits

• Competitive salary range of $76,700.00 - $129,500.00
• Diversity, equity, and inclusion initiatives
• Opportunities for professional development
• Access to a leading research environment