In this role, youll lead the Scene Understanding Teams 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
* Bachelors or masters 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.
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