Axon

This Principal ML Engineer role focuses on architecting and implementing on-device AI solutions for counter UAS systems. The role involves optimizing and deploying AI models at the edge, including on devices with limited memory and connectivity, and supporting the end-to-end AI lifecycle for continuous model improvement and new AI capabilities. It emphasizes collaboration with scientists and software engineers in a multidisciplinary team, working with multi-modal sensor fusion and real-time systems with distributed edge compute.

Senior Software Engineer to build native foundation for edge video and IoT intelligence on Axon Body cameras and FususCOREs, owning high-performance pipelines from sensor to inference and influencing architecture at the boundary of hardware, media, and AI. The role involves defining native platform architecture, SDK strategy, and designing/shipping cascade AI pipelines at the edge.

Senior Software Engineer II role focused on building and shipping data products, including dashboards, metrics systems, and recommendation tools. The role involves owning production ML deployment, bringing models from research to reliable production systems with monitoring and operational rigor, and building data pipelines. The engineer will also set technical direction for the team's engineering practices and work across the full stack, from device data ingestion to user-facing analytics. The company uses AI tools as a core part of the development workflow.

Senior Machine Learning Engineer at Axon, focused on developing and deploying AI solutions for public safety. The role involves supporting the training, evaluation, testing, and deployment of ML models on devices and cloud, with exposure to computer vision, speech recognition, and NLP. Key responsibilities include architecting and developing secure, privacy-preserving solutions for continuous model improvement, and building platforms to accelerate research and product development. Requires strong software engineering experience, cloud architecture knowledge, and proficiency in Python/C++ and ML frameworks. Experience with LLMOps and fine-tuning large models is preferred.

Senior Machine Learning Engineer II at Axon focused on architecting and implementing on-device AI solutions for edge devices. This role involves optimizing models for limited memory and connectivity, enabling continuous improvement, and implementing model compression techniques. Collaboration with scientists and device engineers is key to bringing AI capabilities to Axon products.

Senior Machine Learning Engineer at Axon focused on developing and deploying AI solutions for public safety. The role involves architecting and developing secure, privacy-preserving solutions for continuous improvement of AI models, architecting platforms to accelerate research and AI product development, and collaborating on state-of-the-art training techniques. Experience with LLMOps, fine-tuning, and model encryption is desired. The role supports the training, evaluation, testing, and deployment of ML models on Axon devices and cloud, covering computer vision, speech recognition, and natural language understanding.

Senior Machine Learning Engineer role focused on designing and implementing high-performance C++ software for real-time computer vision and tracking algorithms on edge devices. The role involves optimizing CUDA kernels, building parallel processing pipelines, and integrating ML models into production, with a strong emphasis on performance and memory management in constrained environments.