Top Tech Jobs & Startup Jobs

Owns quality analysis for annotated computer vision and machine learning data. Responsibilities include reviewing annotation queues, maintaining verdict taxonomies and guidelines, tracking performance by facility and equipment, detecting anomalies, conducting root cause analysis, reporting findings, improving annotation tools, and establishing quality processes for new programs. The role requires independent Python and SQL analysis, strong statistical reasoning, clear documentation, and collaboration with ML and engineering teams.

Own UX for operator tablet apps and an AI-driven dashboard, conduct field research in customer warehouses, prototype rapidly in Figma and AI tools, ship v2 quickly, and define the product's long-term design vision while collaborating tightly with product and engineering.

Own and architect the autonomy software stack for drone and vehicle-mounted systems, building perception, localization, and inventory scanning pipelines that run on embedded compute, improving scan accuracy, integrating sensors, and iterating with hardware and field teams to ensure reliable production deployments.

Lead design and implementation of perception, localization, and inventory scanning pipelines for vehicle-mounted embedded systems. Own architecture, improve scan accuracy and sensor integration, build scan-triggering and mapping software, and collaborate with hardware, ML, and field teams to diagnose and iterate on deployed systems in warehouse environments.

The role involves technical leadership in developing and integrating autonomous systems for logistics, including design, collaboration with teams, and mentoring.

Design and build a greenfield, multi-layer data warehouse and semantic metrics layer; separate analytics from OLTP; ensure data quality, traceability, tenant isolation, and high SLAs; enable linking of structured records to drone imagery/video; deliver self-service data access, observability, and infrastructure automation to scale across products and tenants.

Lead technical direction and hands-on implementation of enterprise-grade integrations, distributed services, and infrastructure. Improve scalability, reliability, security, observability, CI/CD, and APIs; mentor engineers; act as US-based customer technical contact to turn requirements into scoped production work.

Lead the Machine Learning strategy at Gather AI, focusing on computer vision, building teams, and enhancing ML systems for warehouse intelligence.