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 field6+ years of experience as a Software EngineerExtensive experience in PythonProven experience working with RESTful APIs and OpenAPI, gRPC, and Protobuf, with knowledge of their design best practices and common librariesProven experience interfacing with AI projects, with a focus on computer vision and geometryProven experience in production.Excellent leadership, communication, and management skillsAdditional Qualifications (desired)

Experience with asynchronous processes and event-driven architecturesExperience with containerized applications, Kubernetes and DockerExperience with AzureExperience with multi-view stereo technologies (turning images into 3D), such as ColmapExperience with SLAM or Structure from MotionExperience in a fast-paced, product-driven startup environmentExperience with GolangExperience in the autonomous retail industry or a similar domainExperience in MLOps, DevOps, and build/release/deployment automation.

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