Knowtex
ML Engineer: Speech & LLMs
San Francisco, USPosted 16 days ago$200,000 – $300,000
Full TimeUS
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Job Description
About Knowtex Knowtex is building the future of voice AI operating systems for clinicians, transforming how healthcare documentation happens at the point of care. We are experiencing rapid growth acro
Key Highlights
- Speech & Audio: Build state-of-the-art medical speech-to-text systems using our large proprietary dataset of real-world clinical audio, with the goal of bringing more of our speech stack in-house.
- Large Language Models: Develop and optimize models for clinical documentation and structured clinical reasoning, improving quality, cost, latency, and control.
- Develop and train speech recognition models optimized for medical conversations across hundreds of specialties
- Leverage Knowtex's large proprietary clinical audio dataset to train and fine-tune domain-specific speech models
- Research approaches for improving medical terminology recognition, speaker attribution, punctuation, timestamps, and robustness across accents and clinical environments
Qualifications
Required Qualifications
- 2+ years of experience in machine learning research or ML engineering, with deep expertise in speech/audio modeling or large language models
- Strong expertise in Python and PyTorch
- Deep understanding of modern transformer architectures and model training techniques
- Experience training, fine-tuning, or post-training large neural models
- Strong experimental methodology and ability to independently design and execute research projects
- Experience working with large-scale datasets and distributed training environments
- Ability to translate research results into production systems
- Strong understanding of model evaluation and benchmarking
- Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, or a related technical field, or equivalent research experience
Skills & Technologies
Machine LearningPythonPyTorchNLPAWS
About the Company
Knowtex
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Job Details
Employment Type
Full Time
Salary Range
$200,000 – $300,000
Location
San Francisco, US
Posted
16 days ago
Country
US