NLP Scientist
Listed on 2025-11-07
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Software Development
Data Scientist, Machine Learning/ ML Engineer
Overview
Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering value, transparency, and efficiency to health plan clients nationwide. Deployed by over 60 health plans and representing more than 160 million lives, Machinify combines a configurable, AI-powered platform with domain expertise to maximize financial outcomes and drive down healthcare costs.
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 and tackle core features to scale our models.
What We’re Looking ForAn 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.
- 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.
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.
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