Senior Machine Learning Engineer

Senior ML Engineer Be the ML force multiplier at a funded stealth startup solving hard on-device AI problems. ABOUT THE COMPANY A stealth startup in the identity space building privacy-preserving, on-device authentication via voice biometrics. Backed by $2.4M in pre-seed funding with large enterprise clients already in the pipeline. The core technical challenge: compressing 5GB ML models to under 5MB without sacrificing accuracy. Small team, real traction, massive upside. WHY THIS ROLE EXISTS We need someone who brings a different gear — modern tooling, fast experimentation, and a bias toward shipping. You won't be inheriting a broken system; you'll be raising the ceiling on what this team can do. This is the kind of role where the right person becomes indispensable within 90 days. WHAT YOU'LL OWN Drive high-velocity experimentation on voice embedding models — speaker verification, liveness detection, age estimation Own model compression end-to-end — quantization, pruning, distillation — to hit aggressive on-device size and latency constraints Build modern ML infrastructure — experiment tracking, fast eval loops, reproducible pipelines — so the team can iterate at a different pace Deploy optimized models to iOS and Android via CoreML, TFLite, or ONNX Runtime and own their performance in production Partner with the co-founder to define the ML roadmap and unblock enterprise client integrations YOU ARE THE RIGHT FIT IF You've shipped production ML models and measure yourself by