Artificial Intelligence / Machine Learning Research and Development Engineer

The Pennsylvania State UniversityReston, VA
Onsite

About The Position

We are seeking highly motivated Research and Development Engineers to join our Research Artificial Intelligence of the Applied Research Laboratory (ARL) at Penn State. You will assist in providing customers with state-of-the-art visualization and decision support. The primary focus will be researching and developing feasible algorithmic solutions to our sponsor’s complex problems given large sets of multivariate data. Located in State College, PA or Reston, VA ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.

Requirements

  • Data science/algorithm development
  • Data science / Machine Learning languages to include Python
  • Research, development and implementation of machine learning models

Nice To Haves

  • Active TS/SCI Clearance
  • Master’s degree
  • Training and optimizing ML algorithms on GPU hardware architectures, specifically NVIDIA based
  • Working with geo-spatial data
  • Statistics, multivariable calculus, and linear algebra
  • Exploratory data analysis and visualization
  • Data science / Machine Learning tools to include Pandas, PyTorch/TensorFlow, NumPy, MatPlotLib, PostGreSQL, FastAPI
  • Software Development tools to include Git, Docker, Kubernetes, SSH

Responsibilities

  • Design and implement machine learning systems, models, and schemes
  • Research and apply state-of-the-art machine learning prototypes to sponsor specific domains
  • Search and select appropriate data sets before performing data collection and data modeling
  • 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
  • Perform data fusion and correlation
  • Build high quality software prototypes integrated with our various research and pre-production software environments
  • Collaborate with other ARL staff and sponsors
  • Supervise the work of lower-level staff and undergraduate student
  • Perform tasks of a larger scope and lead specific tasks within the project scope

Benefits

  • Comprehensive medical, dental, and vision coverage
  • Robust retirement plans
  • Substantial paid time off which includes holidays, vacation and sick time
  • 75% tuition discount, available to employees as well as eligible spouses and children
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