AI/ML- Research and Development Engineer

Found in: Appcast US C2 - 2 weeks ago

University Park, United States The Applied Research Laboratory at Penn State University Full time

The Algorithms, Prototyping and Integration Department within the Communications, Information and Navigation Office (CINO) at the Applied Research Laboratory (ARL) is looking for two talented, experienced and a highly motivated Data Scientist’s to assist in providing its 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.


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


The selected candidates will assume a technical leadership role and will interact with other ARL staff and sponsors, spending a majority of the time working in a classified environment in State College, PA or Reston, VA.


Bachelor's degree in an Engineering or Science discipline plus five years of related experience, or an equivalent combination of education and experience. Additional experience and/or education are required for higher level jobs. A Master's degree in a related engineering discipline is highly desired.


Required:

  • Data science/algorithm development
  • Data science / Machine Learning languages to include Python
  • Research, development and implementation of novel machine learning models
  • Ability to present complex technical topics to wide range of audiences
  • U.S. Citizenship


Preferred:

  • 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

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