Research Scientist, Speech Technologies
About Us:
Hippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health.
Why Join Our Team:
- 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, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA.
- 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.
For more information, visit www.HippocraticAI.com.
We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA unless explicitly noted otherwise in the job description.
Responsibilities:
- Design, Develop, Evaluate and update data-driven models for Speech First applications.
- Participate in Research activities including the application and evaluation of speech technologies in the medical domain.
- Research and implement 0 to 1 SOTA models for conversational speech recognition.
Basic Qualifications:
- PhD with 3+ years of experience in Speech Recognition or related field or Masters with 5+ years of hands on experience with ASR.
- Experience Designing and developing algorithms for accurate and efficient speech recognition for both Streaming and Non-Streaming use cases.
- Experience with Training, evaluating, and optimizing ASR models for various factors including accuracy, latency, and resource utilization.
- Experience with Preprocessing and curating large speech datasets for training models.
- Strong programming skills with working knowledge of Python & C++
- Comfort working in a Linux/ Unix command-line environment.
- Team player with good communication skills (oral and written)
Preferred Qualifications:
- Experience with building 0 to 1 ASR solutions, including setting up data pipelines, SOTA model architectures and evaluation pipelines.
- Hands-on Experience with ESPNET, Kaldi and Pytorch.
- Experience with CUDA.
- Experience with leveraging LLMs for enhanced speech recognition tasks.
- Experience with Neural/ E2E Endpointer modeling.
- Publications in tier 1 journals in the field of speech recognition/ NLP.