Artificial Intelligence / Machine Learning Research and Development Engineer
Role details
Job location
Tech stack
Job description
The Cyber Innovation, Analytics, and Operations Department within the Information Advantage Office (IAO) at the Applied Research Laboratory (ARL) at Penn State is looking for talented, experienced, and highly motivated Data Scientists to assist in providing its customers with state-of-the-art solutions. In this position you will research, develop, and deliver algorithmic, machine learning, and artificial intelligence based approaches to solve complex sponsor problems.
ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.
You will:
- 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
The selected candidates will assume a technical role and will interact with other ARL staff and sponsors, spending a majority of the time working in a classified environment in Annapolis Junction, MD, State College, PA or Reston, VA. Periodic travel to sponsor sites may be required.
ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.
This position can be filled at multiple levels, depending upon your education and experience. Minimally requires a Bachelor's degree in an Engineering or Science discipline. Additional experience and/or education are required for higher level jobs. A Master's degree is preferred.
Additional responsibilities of higher level positions include:
- Supervise the work of lower level staff and undergraduate student
- Perform tasks of a larger scope and lead specific tasks within the project scope
Requirements
- Data science/algorithm development
- Data science / Machine Learning languages, to include Python
- Research, development, and implementation of machine learning models
Experience in the following is preferred:
- 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