Top AI & Machine Learning Jobs

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.

Design, develop, and integrate advanced computer vision algorithms into high-performance C++ pipelines for real-time, edge-deployed autonomous systems. Build perception capabilities (SLAM, tracking, localization, mapping), optimize performance, translate research into deployable software, and collaborate with cross-functional teams to deliver reliable mission-critical solutions.

Deploy and integrate Shield AI9s Hivemind autonomy software with customers worldwide. Provide on-site technical support, training, debugging, and develop AI/autonomy applications using the company SDK. Collaborate with product engineering, assist sales in demos and pre-sales, and produce technical documentation.

Lead design, training, fine-tuning, evaluation, and deployment of vision, vision-language, and vision-language-action models for autonomous systems. Build scalable data pipelines, SFT workflows, and evaluation frameworks. Optimize models for embedded hardware (ONNX, TensorRT), collaborate cross-functionally, translate research to production, and mentor engineers.

Design, train, fine-tune, evaluate, and deploy state-of-the-art vision, vision-language, and vision-language-action models for autonomous systems. Build scalable data pipelines, SFT workflows, evaluation frameworks, and optimize models for embedded hardware using ONNX and TensorRT. Collaborate with cross-functional teams to translate research into robust, production-ready perception capabilities for defense platforms.

Design, train, fine-tune, evaluate, and deploy vision, vision-language, and vision-language-action models for autonomous systems. Build scalable data pipelines, SFT workflows, evaluation frameworks, and optimize models for embedded hardware (ONNX, TensorRT). Collaborate with researchers and engineers to translate ML research into robust, production-ready perception capabilities for defense platforms.

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%).

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 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.

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.