Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 60 health plans, including many of the top 20, and representing more than 160 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.

At Machinify, we're building state-of-the-art Visual Question Answering (VQA) systems for medical records using cutting-edge techniques in Natural Language Processing (NLP) and Computer Vision (CV). Our mission is to achieve human-expert level accuracy in medical document analysis — a highly challenging problem where traditional approaches, like vanilla Retrieval-Augmented Generation (RAG), fall short. While we've made significant strides, we're looking for an applied scientist to help us tackle the remaining core features and scale our models.

What We're Looking For: An applied scientist with a passion for solving real-world problems and expertise in NLP and/or CV to push the boundaries of AI-driven healthcare solutions.

Key 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.

About You: Expertise in NLP and/or Computer Vision: You stay up to date with the latest research and developments in these fast-evolving fields. Strong Software Engineering Skills: You write clean, production-quality code and are comfortable building scalable solutions.

Equal Employment Opportunity at Machinify

Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace. 

See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/