Research Scientist, Speech Technologies

About Us: Hippocratic AI is building safety-focused large language model (LLM) for the healthcare industry. Our team comprised of ex-researchers from Microsoft, Meta, Nvidia, Apple, Stanford, John Hopkins and HuggingFace are reinventing the next generation of foundation model training and alignment to create AI-powered conversational agents for real time patient-AI interactions. 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. For more information, visit #J-18808-Ljbffr Hippocratic AI