MLE (Live Agent & Post-Processing)

Machine Learning Engineer - Live Agent & Speech Post-Processing$200,000 - $300,000San Francisco, hybrid (3x per week) Full time / PermanentThis company builds AI tools and devices that help professionals capture and use what's said in real conversations across meetings, calls, voice notes. It's profitable, bootstrapped, and scaling fast: $250M revenue run rate in under three years, used by over 1.5 million people globally.The product works. Now they need someone to make the live speech experience feel polished and seamless, fixing the small things that frustrate users at scale.What you'll doBuild and maintain test suites and automated evaluation platforms for multilingual, multi-model live systems. Covering hallucinations, casing, punctuation, number formatting, and segmentationSet up benchmarks for live agent systems: VAD false triggers, interruption latency, and turn-taking transitionsFix the friction points that hurt user experience: poor segmentation, inconsistent casing, hallucinated words Optimize VAD, barge-in models, and turn-taking logic to reduce end-to-end latency and false interruption ratesWhat "great" looks like1–3 years of hands-on experience in speech algorithm training, with a focus on pre- or post-processing, or full-duplex voice system optimizationYou've worked on ASR pre-processing or post-processing in a real productYou understand how live voice systems break and know how to fix themYou have published research at Interspeech or ICASSP, or possess speech-related patentsWhy joinProfitable company at ~$250M run rate - you'll see the impact of your work immediately in a product used daily by professionals worldwideDirect ownership of the live speech quality stack, not a supporting role in a large orgHybrid San Francisco team with real access to large, diverse, multilingual audio datasetsShort feedback loops - improvements ship fast and metrics are visibleClear path toward senior technical leadership as the audio team grows