ASR Engineer
Company hidden until unlock
- Seniority
- Lead Manager
- Work model
- Hybrid
- Location
- San Francisco
- Posted
- 5d ago
tensorflowllm
Company hidden until unlock
ABOUT THE ROLE You'll own the transcription pipeline end-to-end at an early-stage ambient intelligence startup — one of the company's first US engineering hires. Working directly with the GM and Head of Product, you'll build, tune, and ship improvements to a cloud-based ASR system with a narrowly scoped on-device component, making real tradeoffs between latency, accuracy, and reliability as the product evolves. WHAT YOU'LL DO - Build and iterate on the cloud-based ASR pipeline, from audio capture through post-processing, in production at scale. - Own ASR quality and reliability end-to-end, shipping measurable improvements in latency, small-word accuracy, and voice-print reliability. - Work across data, training/fine-tuning, evaluation, and deployment to translate product feedback into shipped pipeline changes. - Collaborate with hardware and R&D teams across time zones. - Partner with a Product Engineer on shared backend and pipeline surfaces. - Operate with minimal specification, turning lightweight asks into concrete, production-ready improvements. WHAT WE'RE LOOKING FOR - 3+ years building and tuning transcription/ASR pipelines end-to-end in production, primarily in cloud-based settings. - Demonstrated ownership of production ASR systems across the full lifecycle: data preparation, model training/fine-tuning, evaluation, and deployment. - Experience building and optimizing latency-sensitive or streaming audio/ASR pipelines. - Track record of shipping pipeline improvements from design through deployment and ongoing iteration based on real usage data. - Experience debugging transcription quality issues in production (small-word accuracy, voice-print reliability, latency). - Comfort in early-stage or founding engineering environments with minimal specs and small teams. - On-device or embedded ML experience (Core ML, TensorFlow Lite, or similar frameworks) is a strong plus. - Prior experience building wearable, hardware, or robotics device products is a plus. - Background at AI-native consumer applications focused on transcription or audio is a plus. - Experience building agent or LLM-based product features (tool use, memory, retrieval) is a plus. - You care how transcription feels to use, not just how it benchmarks. LOCATION Hybrid (3 days/week in office) — San Francisco Bay Area, California. Visa sponsorship is not available.