About the RoleYou'll own the transcription pipeline end-to-end at an early-stage ambient intelligence startup - a cloud-based ASR system with a narrowly scoped on-device component. As one of the first US engineering hires, you'll work hands-on with product and leadership to build, tune, and ship pipeline improvements that directly shape the core product experience.
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 across 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 overseas R&D, hardware, and supply-chain teams across time zones.
- Partner with a product-focused backend engineer on shared 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 based on real production usage data.
- Comfort making latency, accuracy, and reliability tradeoffs based on genuine user feedback - not just benchmark scores.
- Prior experience at an early-stage or founding-team engineering environment with minimal specifications and small teams.
- On-device or embedded ML experience (e.g. Core ML, TensorFlow Lite, or similar frameworks) is a plus.
- Background in wearable, hardware, or robotics device products is a plus.
- Experience at an AI-native consumer application focused on transcription or audio is a plus.
- Experience building agent or LLM-based product features (tool use, memory, retrieval) is a plus.
LocationHybrid (3 days/week in office) - San Francisco Bay Area, CA. Visa sponsorship is not available.
