Top AI & Machine Learning Jobs

Deploy and integrate Shield AI's Hivemind autonomy software with customers, providing on-site technical support, training, debugging, and developing autonomy applications using the Shield AI SDK (C++). Collaborate with engineering and sales teams on pre- and post-sales activities, documentation, and product improvements. Role requires frequent international travel (~50%).

Lead customer-facing development and integration of Hivemind autonomy software. Build AI/autonomy applications, deploy infrastructure at customer sites, provide training and technical support, debug integrations, collaborate with product and engineering, maintain documentation, and assist sales. Travel to customer sites (~30%).

Provide technical expertise for Shield AI's Hivemind enterprise software: support customers through integration, deployment, training, troubleshooting, and development of AI/autonomy applications using the Shield AI SDK. Assist sales with demos, create documentation, collaborate with engineering, and travel to customer sites (~30%).

Deploy and integrate Shield AI's Hivemind autonomy software with customers worldwide. Provide on-site technical support, training, API/SDK integration, and debugging; develop autonomy applications; collaborate with product engineering and sales; create documentation and training materials.

Design and implement real-time object detection, classification, multi-target tracking, and sensor-fused state estimation for airborne platforms. Integrate EO/IR, radar, IMU/GPS data, optimize perception pipelines for SWaP-constrained systems, validate in simulation and flight tests, and collaborate with autonomy, hardware, and integration teams.

Develop and integrate autonomy and edge-AI capabilities using the Hivemind SDK for unmanned platforms across air, sea, and space. Work with customers to deploy and debug integrations, provide technical training, document solutions, collaborate with product teams, and conduct on-site deployments and flight testing (~30% travel).

Lead design and operation of a centralized AI and data platform for autonomy: define compute strategy, build distributed training and simulation systems, manage multi-modal datasets and MLOps, enable model evaluation, optimization, and deployment to constrained edge and customer environments, and drive platform standardization and broad adoption across programs.

Lead design and implementation of autonomy and edge-AI software for air, land, and sea platforms. Develop tactical autonomy algorithms, integrate software with hardware, deploy and field-test capabilities, analyze mission data, mentor teammates, collaborate cross-functionally, and support customers and defense programs.

Provide technical expertise to customers deploying and integrating Shield AI's Hivemind autonomy software. Develop autonomy applications, deploy AI infrastructure at customer sites, train and support customers, debug API integrations, collaborate with product/engineering, create documentation and training materials, and assist sales. Travel to customer sites (~30%).

Lead product vision and roadmap for the Hivemind AI Platform to enable training, evaluation, governance, and safe edge deployment of foundation and domain models. Drive MLOps, data/simulation pipelines, synthetic data generation, model governance, and integration with edge hardware. Partner cross-functionally to productionize research, ensure accreditation and safety, and support continuous learning and sovereign AI factory capabilities for mission-critical autonomy.