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Sr. Computer Vision Scientist

Washington, D.C.
This Computer Vision Scientist will work on developing, adapting, and extending our core CV technology for our commercial and government customers. This role will involve developing new CV models on new (possibly classified) data sources, improving existing CV models to reach higher and higher precision and recall metrics, and deploying these models in multiple cloud environments through collaboration with other engineers. This role will be heavily focused on enhancing our platform, GO, with new and improved AI-powered capabilities. As we continue to build out our expertise, we are looking for someone with the passion and drive to lead an elite team of Computer Vision Scientists. This position can be based in either our Palo Alto, CA or our Arlington, Virginia office and may require some work at customer sites. Currently, Our company is fully remote (working from home) until at least the end of the year, due to COVID. Occasional travel may be required (only applicable post COVID).

Responsibilities
  • Act as the Computer Vision Architect for new models and experiments, guiding other members of the team in direction and decision making
  • Provide key input and guidance on the company’s R&D roadmap for Computer Vision
  • Development of R&D proposals, both internally and for government programs, to document and then realize our evolving vision for what Computer Vision can be
  • Lead efforts and deliver on milestones connected with customer deliverables, often including specified performance targets
  • Design and implement highly scalable computer vision algorithms
  • Rapidly iterate algorithms to continuously improve performance under a variety of conditions
  • Collaborate with end-user and product owners to understand computer vision needs
  • Design and implement methodologies for testing and accuracy assessment
  • Support build deployment, management, and monitoring systems
  • Provide production support for applications and infrastructure
  • Report on deliverables to corporate leadership, our partners, and our customers
 
Qualifications
  • US Citizen required (clearance eligible). Current clearance preferred
  • Must have designed, trained, and deployed CV models in production (industry experience required)
  • MS or PhD Degree in computer science or related discipline. Degree in Computer Vision preferred
  • 8+ years experience in computer vision, machine learning, and/or image processing
  • Solid software engineering skills (python is a plus)
  • Expertise in deep learning, including semantic segmentation, object detection, and image classificationExperience with cloud computing (AWS or similar) is a plus
  • Experience with automated analysis of satellite, aerial, or multispectral imagery is a plus

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