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Machine Learning Researcher 

Category Engineering  

Every Analyst a Scientist - One of our primary goals is to empower intelligence analysts to be able to study their data like scientists. The tools we develop focus on streamlining intelligence analysis through integrated algorithms and software that provide insight into the geopolitical landscape for use in operational intelligence missions around the world.

The Role:
As a Machine Learning Researcher, you will develop, implement, and evaluate statistical machine learning algorithms to uncover hidden information and patterns from a diverse collection of massive datasets, including social media, structured and unstructured text, geospatial, time series, and imagery data. You will bring your expertise to a diverse team of dedicated and creative researchers to build state-of-the-art tools and technologies that are used by analysts to extract and enrich intelligence information.

If you would like to help intelligence and defense analysts keep pace with technology-driven innovation, then this role is for you!

Position Requirements

Who you are:

  • A U.S. Citizen with the ability to obtain a Security Clearance
  • BS in a scientific field such as Computer Science, Math, Statistics, Data Science, or Physics
  • Understanding of and experience with statistics and machine learning techniques
  • Proficiency with a scientific programming language such as Python, MATLAB, Java, or C++
  • Motivated collaborator and an excellent communicator to both technical and non-technical audiences

Even better:

  • Active Security Clearance
  • MS or PhD in a scientific field such as Statistics, Mathematics, Computer Science, or Data Science or 2+ years of relevant work experience
  • Track record of developing, implementing, and evaluating statistical algorithms against real datasets
  • Experience with deep learning and neural network training, testing, and evaluation
  • Specialized expertise in a data-rich field such as time-series analysis, graph analytics, geospatial analysis, image processing, or Bayesian programming
  • Experience working with large datasets and familiarity with big data infrastructure, such as AWS, Hadoop, Spark, Dask, or MapReduce
About the Organization Systems & Technology Research (STR) is a rapidly growing technology company with locations north of Boston, MA, Arlington, VA and near Dayton, OH. We specialize in advanced research and development for defense, intelligence, and national security, trying to understand how to protect our society: from stopping malicious botnet attacks, to understanding cyber vulnerabilities, providing next generation sensors, radar, sonar, communications, and electronic warfare to developing artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us.

STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, but you go home at night knowing that you pushed the forefront of technology and made the world a little safer. We recognize that the world is changing, that it is becoming more connected than ever before, making things change faster than before, and reshaping society in the process. We all want to understand this changing world and leave it better for our work.

We're not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe!

EOE Statement STR is fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws.

If you need a reasonable accommodation for any portion of the employment process, email us at and provide your name, phone number and email address.

US Citizenship is required for all positions.

This position is currently not accepting applications.

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