Top AI & Machine Learning Jobs

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.

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).

Deploy and integrate Shield AI's Hivemind autonomy software with customers worldwide, provide technical support and training, develop autonomy applications using the enterprise SDK, assist sales and post-sales integration, document solutions, and collaborate with product engineering to resolve customer issues.

Customer-facing applications engineer who deploys and integrates Shield AIs Hivemind autonomy software worldwide. Develops AI/autonomy applications using the company SDK, provides technical support and training, debugs API integrations, assists pre- and post-sales activities, creates documentation, and collaborates with product engineering to drive customer-focused improvements.

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.

Lead and manage perception teams to design and implement real-time object detection, sensor fusion, and state estimation (SLAM/visual-inertial) using EO/IR, radar, IMU, and GPS. Integrate perception outputs with autonomy, interpret sensor ICDs, optimize pipelines for real-time SWaP-constrained platforms, and validate solutions in simulation and field tests. Travel ~10-15%.

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.

Research, design, and implement discrete optimization and mission-planning algorithms for multi-agent autonomous systems; improve and maintain C++ mission-planning software; define technical roadmaps; mentor engineers; perform full software and hardware-in-the-loop simulations.