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Research Scientists excel at developing state-of-the art algorithms and software that solve scientific problems with real-world applications. Working in small innovative teams, our research scientists build solutions that make a difference. Our research endeavors don't end once we've written a journal or conference paper describing our technology; rather, our work is complete when our technology has been deployed in mission-critical systems and our customers within government and industry are successful

What You Will Do:

  • Contribute to the direction of a talented small team with your expertise and ideas;
  • Create mathematically principled solutions to some of the world's most challenging information science problems;
  • Prototype state-of-the-art algorithms in an agile development environment;
  • Prepare real or synthetic data sets to drive learning algorithms, fine tune large-scale AI models, and characterize system performance.
  • Implement high-performance software spanning the spectrum from tactical systems to web applications;
  • Use high-fidelity modeling and simulation environments, innovative analysis tools, and flexible compute clusters to quantify the benefit of our technology;
  • Engage with our customers, to ensure successful outcomes for their mission-critical needs;
  • Help your colleagues and customers understand what you're doing and why.


  • A Research Scientist should possess an M.S. or Ph.D. in Applied or Computational Mathematics, Electrical Engineering, Computer Science, Controls and Dynamical Systems, Aerospace Engineering, Statistics and Probability, or a related field.
  • A Research Scientist should have a record of academic excellence, including demonstrated experience in most of the following areas:
    • Applied Mathematics: differential equations, linear algebra, numerical analysis, combinatorics, and continuous or discrete optimization;
    • Engineering: controls, estimation theory, digital signal processing, reinforcement learning optimization, and machine learning
    • Scientific Computing: software design, algorithm implementation, and software analysis, testing, and optimization;
    • Probability: statistics, Bayesian analysis, and random processes.
  • A Research Scientist should have effective written and verbal communication skills, with the demonstrated ability to convey salient details about advanced technology in a compelling manner to both experts and non-experts alike.


$80-$160K Salary Range based on experience.