22 hours ago
San Francisco, CA, USAMid Level
Base Salary
$150k - $200k/yr
Responsibilities
- Build and iterate on a cloud-based ASR and transcription pipeline from audio capture through post-processing and production deployment.
- Own ASR quality and reliability end to end, delivering measurable improvements in latency, small-word accuracy, and voice-print reliability.
- Work across data preparation, model training and fine-tuning, evaluation, and deployment to convert product feedback into production changes.
- Debug and tune latency-sensitive or streaming audio and ASR pipeline issues.
- Collaborate with product, overseas R&D, hardware, and supply-chain teams across time zones.
- Translate minimally specified requests into concrete, production-ready improvements and partner on shared backend and pipeline surfaces.
Requirements
- At least 3 years of experience building and tuning transcription and ASR pipelines end to end in production, primarily in cloud-based settings.
- Demonstrated ownership of production ASR systems across data preparation, model training and fine-tuning, evaluation, and deployment.
- Hands-on experience with latency-sensitive or streaming audio and ASR pipelines.
- Proficiency across the machine learning lifecycle, including data handling, evaluation metrics, and production deployment.
- Experience debugging and tuning transcription quality issues such as small-word accuracy, voice-print reliability, and latency.
- Experience working in early-stage or founding engineering environments with limited support and incomplete specifications.
- Experience with on-device or embedded ML frameworks such as Core ML or TensorFlow Lite is a plus.
- Experience with wearable, hardware, or robotics products is a plus.
- Experience building agent or LLM-based product features involving tool use, memory, or retrieval is a plus.
Benefits
- Annual salary range of $150,000 to $200,000 USD.
- Hybrid work arrangement requiring 3 days per week in the office.
- Role is based in the San Francisco Bay Area, California.