[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 • Solve complex problems in medical document understanding and question-answering using modern NLP and vision methodologies • Make data-driven decisions on algorithms and techniques tailored to specific business challenges • Work with limited and noisy labeled data, bootstrapping and iterating to improve model output in practical, real-world settings • Continuously evaluate and optimize models for scalability and performance in production environments • Learn the intricacies of the healthcare domain and evolve into an industry expert over time Skills • Expertise in NLP and/or Computer Vision • Strong Software Engineering Skills • Ability to solve complex problems in medical document understanding and question-answering using modern NLP and vision methodologies • Make data-driven decisions on algorithms and techniques tailored to specific business challenges • Work with limited and noisy labeled data, bootstrapping and iterating to improve model output in practical, real-world settings • Continuously evaluate and optimize models for scalability and performance in production environments • Learn the intricacies of the healthcare domain and evolve into an industry expert over time Company Overview • 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 http://www.machinify.com. Company H1B Sponsorship • 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 To this Job