Machine Learning Computer Vision MS/PhD Summer Internship jobs in United States
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STR ยท 4 months ago

Machine Learning Computer Vision MS/PhD Summer Internship

Systemstechnologyresearch is a growing technology company specializing in advanced research and development for defense, intelligence, and national security. They are seeking a summer intern to join their Video & Image Understanding Group, where the intern will develop and apply deep learning techniques to solve complex problems in computer vision and autonomy.

Artificial Intelligence (AI)Machine Learning
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Growth Opportunities
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Responsibilities

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

Qualification

Machine LearningComputer VisionDeep LearningReinforcement LearningPythonScientific Software DevelopmentResearch Interest

Required

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

Benefits

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

Company

STR

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STR is built on people & technology platforms tackling tough problems in cybersecurity, distributed sensing & artificial.

Funding

Current Stage
Late Stage

Leadership Team

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Mark McClure
CTO and Executive VP
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James Wright
ACPSO/PERSEC Officer
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