[Remote] NLP Scientist
Note: The job is a remote job and is open to candidates in USA. Machinify is a leading healthcare intelligence company specializing in AI-powered solutions for health plans. They are seeking an applied scientist with expertise in Natural Language Processing and Computer Vision to develop state-of-the-art Visual Question Answering systems for medical records, aiming for high accuracy in document analysis. Responsibilities β’ Solve complex problems in medical document understanding and question-answering using modern NLP and vision methodologies β’ Make data-driven decisions on algorithms and techniques tailored to specific business challenges β’ Work with limited and noisy labeled data, bootstrapping and iterating to improve model output in practical, real-world settings β’ Continuously evaluate and optimize models for scalability and performance in production environments β’ Learn the intricacies of the healthcare domain and evolve into an industry expert over time Skills β’ Expertise in NLP and/or Computer Vision β’ Strong Software Engineering Skills β’ Ability to solve complex problems in medical document understanding and question-answering using modern NLP and vision methodologies β’ Make data-driven decisions on algorithms and techniques tailored to specific business challenges β’ Work with limited and noisy labeled data, bootstrapping and iterating to improve model output in practical, real-world settings β’ Continuously evaluate and optimize models for scalability and performance in production environments β’ Learn the intricacies of the healthcare domain and evolve into an industry expert over time Company Overview β’ Machinify is a SaaS platform that enables non-technical enterprises to build AI-powered products and processes. It was founded in 2016, and is headquartered in Palo Alto, California, USA, with a workforce of 1001-5000 employees. Its website is Company H1B Sponsorship β’ Machinify has a track record of offering H1B sponsorships, with 12 in 2025, 6 in 2024, 3 in 2023, 3 in 2022, 4 in 2021, 5 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job Apply tot his job