Filevine, a Legal AI company, seeks a Machine Learning Engineer to design and deploy NLP models for medical summarization, credibility analysis, and contradiction detection. You will improve transcription pipelines, collaborate with full-stack engineers, and drive innovation in NLP within legal and medical domains.
Responsibilities
Develop and improve NLP models for tasks such as medical summarization, credibility analysis, and contradiction detection
Continuous improvement of our automatic transcription pipeline and automation of internal processes using AI
Ensure high accuracy, stable processes, and optimized infrastructure/monitoring around the models
Effectively communicate technical machine learning results in a business context
Collaborate with our full-stack engineering team to ensure seamless implementation of ML models in production
Promote excellence and best practices across the machine learning team in research, implementation, tooling, and system design
Conceptualize and implement new ML ideas in the NLP domain, from validation to production
Requirements
Good communication and writing skills in English
At least 3 years of experience in machine learning roles involving end-to-end ownership of projects
Strong background in NLP; experience with ASR is a plus