Gather AI

Architect and build a greenfield, multi-layer data warehouse and semantic layer to separate analytical workloads from production traffic. Establish data governance, tenant isolation, and traceability between structured records and unstructured drone imagery.

Design and implement the operational framework for planning, prioritizing, and delivering complex robotics programs across engineering teams. Establish standard tracking systems, escalation rhythms, and roadmap cadences to align technical execution with business objectives.

Own the end-to-end UX design for operator apps and AI-driven dashboards used in warehouse environments. Conduct on-site user research at customer facilities to translate real-world operational needs into intuitive software interfaces.

The Principal Machine Learning Scientist will advance core computer vision model performance for warehouse inventory scanning across drone and MHE Vision platforms, owning the full ML lifecycle from research through production deployment and monitoring. This includes collaborating on model optimization for various inference targets and providing technical leadership and mentorship to the ML team.

The Director will define and own the Machine Learning strategy and technical roadmap, leading and growing the Machine Learning and FPT teams while establishing a culture of rigor and production-quality delivery. Key tasks include driving improvements to core computer vision models and building out MLOps infrastructure for model training, deployment, and monitoring.

The Principal ML Scientist will advance core computer vision model performance for warehouse inventory scanning across drone and MHE Vision platforms, owning the full ML lifecycle from research through production deployment and monitoring. This includes collaborating on model optimization for various inference targets and providing technical leadership and mentorship to the ML team.