Hippocratic AI is seeking an Audio Data Engineer to clean and enhance speech datasets for use in Text-to-Speech (TTS) and speech synthesis systems. The role involves building automation pipelines, ensuring high-quality inputs for voice models, and collaborating with ML researchers and speech scientists.
Requirements
- Strong experience with speech/audio cleaning using tools such as iZotope RX, Audacity, Adobe Audition, or SoX.
- Proficiency in Python and audio-related scripting for automation and batch processing.
- Familiarity with digital audio principles, including sample rates, bit depth, frequency bands, and compression artifacts.
Benefits
- Innovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale.
- Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions.
- Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.
- World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes.