Senior ML Engineer at a pre-seed stealth startup building privacy-preserving, on-device voice biometric authentication. Day to day: run high-velocity experiments on voice embedding models (speaker verification, liveness, age estimation), compress models via quantization/pruning/distillation to fit <5MB on-device, build ML infra, and ship to iOS/Android with CoreML/TFLite/ONNX using PyTorch/JAX.
Sign in to see your match