This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
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