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Machine Learning Computer Vision MS/PhD Summer Internship

Dayton, OH

Machine Learning Computer Vision MS/PhD Summer Internship

Join STR’s Video & Image Understanding (VIU) Group as a summer intern to develop and apply deep learning or reinforcement learning techniques to solve challenging problems in computer vision, situational awareness and autonomous control.  We tackle problems that have not been previously addressed by academic and industry research communities.  The VIU Group is part of STR’s Analytics Division, which builds robust, scalable systems to support intelligence analysts and military decision makers. STR staff drive our success with their hard work, talent, and ingenuity. Join us this summer and help develop meaningful solutions to challenging, real-world problems which enhance our nation’s security. 

Job Description:

  • You will work as part of a project team with focused mentorship from experienced staff. 
  • You will adapt, extend and optimize innovative machine learning algorithms for solving challenging computer vision or autonomy problems.
  • You will collaborate with STR research engineers as well as academic researchers, who are often part of our team, to develop practical and powerful machine learning and computer vision solutions.
  • You will have the opportunity to evaluate and optimize machine learning performance on relevant and practical data sets.

Requirements:

  • Enrollment in an MS or PhD degree program in Computer Science, Electrical Engineering, Applied Mathematics or related technical discipline.
  • Successful track record of applying machine learning algorithms, such as deep learning or reinforcement learning, to computer vision or autonomy problems.
  • Strong academic record and interest in research. 
  • Experience in scientific software development, particularly with Python. 

Perks:

  • Competitive pay 
  • Housing stipend 
  • Flexibility/work-life balance 
  • Vibrant community with fun summer activities inside and outside the office 
  • Intern seminars and tech talks 
  • Strong track record of interns returning for subsequent summers and future full-time employment.

This position requires the ability to obtain a security clearance, for which U.S. citizenship is needed by U.S. Government. 

STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and 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, and we go home at night knowing that we pushed the envelope of technology and made the world safer.

STR is 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! Visit us at www.str.us for more info.


STR is an equal opportunity employer. We are 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 appassist@str.us and provide your contact info.

Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

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