The Applied Research Laboratory at Penn State University ยท 1 month ago
Artificial Intelligence / Machine Learning Research and Development Engineer
The Applied Research Laboratory at Penn State University is seeking talented Data Scientists to provide state-of-the-art solutions within the Cyber Innovation, Analytics, and Operations Department. The role involves researching, developing, and delivering algorithmic, machine learning, and artificial intelligence approaches to solve complex sponsor problems.
Universities
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 collection and data modeling
Visualize data for deeper insights
Generate and present technical research reports and briefings
Performing statistical analysis in support of pattern of life and anomaly detection
Build high quality software prototypes integrated with our various research and pre-production software environments
Supervise the work of lower level staff and undergraduate student
Perform tasks of a larger scope and lead specific tasks within the project scope
Qualification
Required
Bachelor's degree in an Engineering or Science discipline
Data science/algorithm development
Data science / Machine Learning languages, to include Python
Research, development, and implementation of machine learning models
Preferred
Master's degree
Training and optimizing ML algorithms on GPU hardware architectures, specifically NVIDIA based
Statistics, linear algebra, and data structures
Exploratory data analysis and visualization
Data science / Machine Learning tools to include Pandas, PyTorch/TensorFlow, NumPy, MatPlotLib, SQL, FastAPI
Software Development tools to include Git, Docker, Kubernetes, SSH
Active TS/SCI Clearance
Company
The Applied Research Laboratory at Penn State University
The Applied Research Laboratory at Penn State University is an integral part of one of the leading research universities in the nation.