Develop and deploy machine learning models for radio frequency sensing and spectrum understanding.
•Distributed Spectrum is building AI-enabled sensing systems for the radio domain, and we are hiring a Machine Learning Researcher, Specialist to bring modern ML to a problem space where representation, structure, physics, runtime constraints, and deployment realities all matter at once.
•Key Responsibilities Formulate new ML problems in RF sensing and spectrum understanding Design experiments and evaluation approaches that reflect real operating conditions Build models for structured, noisy, and partially observed signal environments Improve robustness across propagation, interference, and low-visibility waveform conditions Optimize models for throughput, latency, and deployment constraints Move promising research into a release path for real systems Use field performance to inform the next generation of models and tooling Requirements Deep mathematical and modeling fundamentals Strong hands-on experience with modern ML frameworks and experimental practice Ability to work in domains where problem formulation is as important as implementation Strong instincts for signal-rich, structured, non-generic data Comfort operating with ambiguity and changing requirements Clear technical communication and cross-functional collaboration