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Sr. AI Systems Engineer

aifi · 30+ days ago
Negotiable
Full-time
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In this role, you’ll lead the Scene Understanding Team’s computer vision research and development. This entails everything from designing systems capable of calibrating hundreds of cameras to implementing state-of-the-art 3D reconstruction methods and semantic segmentation.

Responsibilities

  • Lead the development of scene understanding systems responsible for calibrating spaces that contain hundreds of cameras.
  • Translate state-of-the-art research into scalable, maintainable engineering systems.
  • Manage ‘scene calibration’ technologies within the Scene Understanding Team by facilitating backlog refinements, communicating with stakeholders,,and collaborating on roadmaps with product managers.
  • Work closely with other technology departments to deploy, monitor, and support Scene Understanding Services in hundreds of stores.
  • Promote and enforce best practices in software development and project management.
  • Mentor engineers and contribute to creating a collaborative remote team environment.
  • Stay current with emerging AI trends and technologies to assess their potential applications in current and future projects.

Required Qualifications

  • Bachelor's or master's degree in computer science or a related field
  • 6+ years of experience as a Software Engineer
  • Extensive experience in Python
  • Proven experience working with RESTful APIs and OpenAPI, gRPC, and Protobuf, with knowledge of their design best practices and common libraries
  • Proven experience interfacing with AI projects, with a focus on computer vision and geometry
  • Proven experience in production.
  • Excellent leadership, communication, and management skills

Additional Qualifications (desired)

  • Experience with asynchronous processes and event-driven architectures
  • Experience with containerized applications, Kubernetes and Docker
  • Experience with Azure
  • Experience with multi-view stereo technologies (turning images into 3D), such as Colmap
  • Experience with SLAM or Structure from Motion
  • Experience in a fast-paced, product-driven startup environment
  • Experience with Golang
  • Experience in the autonomous retail industry or a similar domain
  • Experience in MLOps, DevOps, and build/release/deployment automation.

Last updated on Jan 7, 2025

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