axon · Seattle, Washington, United States
Skills: Python, CI/CD
Join Axon and be a Force for Good. At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact As an Senior Machine Learning Engineer II focused on Sensor Fusion & Tracking, you will research, design, and validate advanced estimation and probabilistic models that power Dedrone’s real-time airspace awareness systems. Your work will shape the mathematical foundations behind multi-sensor fusion, multi-target tracking, and uncertainty modeling in complex environments. This role offers the opportunity to translate cutting-edge theory into deployed systems that support critical safety missions worldwide. What You’ll Do Location: Hybrid from Seattle, WA Research and develop advanced multi-sensor fusion and multi-target tracking methodologies. Design probabilistic models and state estimation frameworks for radar, RF, optical, and other sensing modalities. Develop and evaluate algorithms such as Kalman filters (EKF/UKF), particle filters, Bayesian filters, probabilistic data association, and multi-hypothesis tracking. Conduct simulation studies and performance benchmarking across varying operational conditions and noise environments. Analyze real-world datasets to validate model assumptions, quantify uncertainty, and improve robustness. Partner closely with software engineers to transition validated algorithms into scalable, production-ready systems. Publish internal technical documentation and contribute to intellectual property development where applicable. Stay current with advancements in tracking, es…
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