The Pennsylvania State University-posted 2 days ago
Full-time • Mid Level
Onsite • University Park, VA
5,001-10,000 employees

We are seeking highly motivated Research and Development Engineers to join our Computational Intelligence and Visualization Application Department 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. ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply. You will: Designing, developing, and researching machine learning systems, models, and schemes Studying, transforming, and applying state-of-the-art machine learning prototypes to sponsor specific domains Searching and selecting appropriate data sets before performing data collection and data modeling Visualizing data for deeper insights Generating and presenting technical research reports and briefings Performing statistical analysis in support of pattern of life and anomaly detection Performing data fusion and correlation Building 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 Your work location will be on-site State College PA or Reston, VA in a classified environment ARL’s purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Department of Defense (DoD), and the Intel Community (IC). FOR FURTHER INFORMATION on ARL, visit our web site at www.arl.psu.edu .

  • Designing, developing, and researching machine learning systems, models, and schemes
  • Studying, transforming, and applying state-of-the-art machine learning prototypes to sponsor specific domains
  • Searching and selecting appropriate data sets before performing data collection and data modeling
  • Visualizing data for deeper insights
  • Generating and presenting technical research reports and briefings
  • Performing statistical analysis in support of pattern of life and anomaly detection
  • Performing data fusion and correlation
  • Building 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
  • Data science/algorithm development
  • Data science / Machine Learning languages to include Python
  • Research, development and implementation of machine learning models
  • Bachelor's Degree - Engineering or Science
  • 5+ years of relevant experience
  • You must be a U.S. citizen to apply.
  • All positions at ARL require candidates to possess the ability to obtain a government security clearance
  • A 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
  • Active TS/SCI Clearance
  • Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being.
  • In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans and substantial paid time off which includes holidays, vacation and sick time.
  • One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children.
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