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Senior Research Scientist

United States, Reston 119800.00 - 234700.00 USD / Year · Job Posted March 22, 2026
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Job Description

The mission of the Spectre team is to make fundamental contributions to advancing the state of the art in Geospatial AI, including developing foundation models for aerial object detection, tracking and map generation, and building an end-to-end AI pipeline using cutting-edge ML techniques and system optimization. We conduct applied research and integrate our AI solutions on real customer data to deliver high-value and high-impact solutions. We are an agile team that moves fast from ideas to experimentation, and to product development. We are looking for a Senior Research Scientist to join us in delivering the next wave of AI innovation. In collaboration with Microsoft Planetary Computer, Spectre is building the AI Platform to harness the power of PB of data and cutting-edge foundation models to generate accurate geospatial insights for a growing number of customers.

Job Responsibility

  • Apply the latest AI, Computer Vision and Machine Learning algorithms to build customer-centric solutions
  • Modify and advance the state-of-the-art approaches in object detection and tracking to deliver best-in-class solutions to our customers
  • Optimize the run-time performance of the latest Computer Vision and Machine Learning algorithms to meet customer’s requirements on various hardware platforms
  • Partner with industry-leading Engineers, Data Scientists, Designers and Program Managers to deliver solid technical designs
  • Embody our Culture and Values

Requirements

  • Doctorate in relevant field OR Master's Degree in relevant field AND 3+ years related research experience OR Bachelor's Degree in relevant field AND 4+ years related research experience OR equivalent experience
  • Experience publishing academic papers as a lead author or essential contributor
  • Experience participating in a top conference in relevant research domain
  • Experience with C++/Python, debugging ability across technology stacks
  • Experience in Deep Learning using frameworks such as PyTorch and TensorFlow
  • Experience in Shipping Computer Vision or Machine Learning based runtimes
  • Practical experience working with geospatial data workflows or datasets

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