Top Computer Vision Jobs

The role involves building and scaling Encord's Physical AI business, focusing on high-potential account identification, executing multi-channel outreach, and supporting sales processes while offering growth opportunities in a fast-paced environment.

The role involves setting up demos for account executives and actively prospecting new customers through various channels.

Build and maintain embedded software and hardware to maximize fleet uptime for Unitree quadruped robots. Ship embedded systems on Raspberry Pi/Jetson/ESP32/Arduino platforms, prototype and test mechatronic subsystems, work with field operations and Mission Control, and contribute to long-term quadruped platform design for manufacturability and large-scale deployment.

Build operator-facing software across mission planning, data workflows, and mission analysis. Develop frontend (React/TypeScript), backend (Python), internal APIs, and database-backed systems spanning edge and cloud. Partner with autonomy, field, and integration teams to turn ambiguous operational needs into reliable, deployable product features and improve performance and usability from real deployments.

Build and productionize state-of-the-art computer vision and multimodal AI systems for messy construction blueprints. Rapidly prototype, iterate from user feedback, and own intelligence-layer development for cost estimation and permit automation.

Lead global partnerships and channel strategy to build a scalable partner ecosystem. Launch and grow an MSP program, acquire and manage MSPs, resellers, distributors, and technology partners, own partner-influenced pipeline, negotiate agreements, design partner programs, set performance metrics, and collaborate cross-functionally to drive revenue and market expansion.

As an AI Vision Solution Architect, you will architect AI-powered solutions, manage projects, collaborate with teams, and build customer relationships to enhance AI vision products.

Design, implement, and optimize AI models deployment on Edge hardware. Enhance performance and maintain IoT systems connectivity for vision inspection applications.

Design, build, and deploy ML systems that link extracted document features to repayment and fraud outcomes. Run backtests, build evaluation and QA frameworks, develop adaptive/online learning for fraud and credit risk, and collaborate with customers to integrate models into underwriting workflows.

Work as an early, client-facing full-stack engineer to gather ambiguous customer requirements, architect solutions, and ship production-ready features spanning frontend, backend, APIs, and data integrations.