Research Engineer I/II - Computer Vision Engineer

Massachusetts, United States
Salary Not specified
Feb 16, 2021
Employment Level
Employment Type
Full Time

Research Engineer I/II - Computer Vision Engineer

About Northeastern:
Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus.

Our locations—in Boston; Charlotte, North Carolina; London; Portland, Maine; San Francisco; Seattle; Silicon Valley; Toronto; Vancouver; and the Massachusetts communities of Burlington and Nahant—are nodes in our growing global university system. Through this network, we expand opportunities for flexible, student-centered learning and collaborative, solutions-focused research.

Northeastern's comprehensive array of undergraduate and graduate programs— in a variety of on-campus and online formats—lead to degrees through the doctorate in nine colleges and schools. Among these, we offer more than 195 multi-discipline majors and degrees designed to prepare students for purposeful lives and careers.

About the Opportunity:
The Kostas Research Institute (KRI), on Northeastern University's Innovation Campus in Burlington, MA (ICBM), focuses on research and applications to national security challenges. Our diverse geospatial AI initiatives and prototype development have a current focus on force readiness and force protection to drive geospatial data to decisions and action. We are seeking a talented and motivated Geospatial Data Scientist /Engineer to join our growing team and collaborate with a cross-disciplinary team of engineers, PhDs, and Professors, as well as work independently. As a member of our technical staff, you'll be working in our private cloud and/or Azure to ingest a wide variety of data, run advanced machine learning algorithms, and apply data science principles to understand the digital world by building computer-vision-backed APIs on top of data.

  • Develop, adapt, and extend KRI's CV and ML/AI technology
  • Develop new CV and ML models for 2- and 3-D satellite, CubeSat and aerial data sources
  • Improve existing CV models for higher precision and recall metrics, with keen interest in statistical behavior of data and algorithms
  • Deploy models in our private cloud through collaboration with extended team.
  • Iterate algorithms to continuously improve performance under a variety of conditions
  • Participate in small and tactical development teams using agile development principles, sprint planning, and standups etc.
  • Participate in customer meetings to present and discuss technical plans and milestones

  • BS or MS degree, or equivalent experience in a quantitative field (physics, mathematics, computer science, operations research, etc.)
  • US Citizen required with active security clearance or clearance eligible
  • 1-5 years research experience
  • Ability to communicate complex data science concepts and results in an understandable manner
  • Demonstrable examples working with image data and noisy datasets that may have sparsity in some dimension (e.g., spatially, temporally)
  • Excellent coding skills (especially python with a solid familiarity with NumPy, SciPy, pandas)
  • Experience with git, GitHub, Docker, and Unix/Linux
  • Demonstrable example(s) of designed and trained CV models
  • Dedication to continuous integration and testing
  • Experience with LiDAR a plus
  • Excellent communication skills

Preferred Qualifications:

Salary Grade:

Additional Information:
Northeastern University is an equal opportunity employer, seeking to recruit and support a broadly diverse community of faculty and staff. Northeastern values and celebrates diversity in all its forms and strives to foster an inclusive culture built on respect that affirms inter-group relations and builds cohesion.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

To learn more about Northeastern University's commitment and support of diversity and inclusion, please see

To apply, visit


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