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•1 min read•from Machine Learning

Radar Engineer to Autonomy/AI [D]

Hi all, I’ve spent the last 3 years working on Radar Perception for a legacy automotive project in Germany. My background is an MSc in Robotics & AI. Currently, I spend my time analyzing point clouds and SNR distributions to debug failures. It’s mathematically complex, but I’m not implementing any models or designing systems. I feel like I'm becoming a "PowerPoint Engineer" who knows a lot about noise but isn't building the future of autonomy. I want to move into Applied ML/Autonomy, but I’m worried my 3 years of "analysis" don't count as "development experience." Does it make sense to build a portfolio of ML/Robotics projects applied to Radars to prove I can actually code, or will recruiters only care about my work? Is this a good path for applied ML or i am kidding my self?

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