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NLP Scientist - Remote

Posted 82 weeks ago
Software Development
Full Time
USA

Overview

Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations, focusing on increasing the speed and accuracy of claims processing.

In Short

  • Build state-of-the-art Visual Question Answering systems for medical records.
  • Utilize cutting-edge techniques in Natural Language Processing and Computer Vision.
  • Address complex problems in medical document understanding.
  • Make data-driven decisions on algorithms and techniques.
  • Work with limited and noisy labeled data.
  • Continuously evaluate and optimize models for scalability.
  • Learn the intricacies of the healthcare domain.
  • Stay updated with the latest research in NLP and CV.
  • Write clean, production-quality code.
  • Become an industry expert over time.

Requirements

  • Expertise in NLP and/or Computer Vision.
  • Strong software engineering skills.
  • Experience with data-driven decision making.
  • Ability to work with limited data.
  • Familiarity with model optimization techniques.
  • Passion for solving real-world problems.
  • Ability to learn and adapt in a fast-paced environment.
  • Experience in healthcare domain is a plus.

Benefits

  • Diverse and inclusive workplace.
  • Opportunity to work on cutting-edge AI technology.
  • Remote work flexibility.
  • Professional growth and development opportunities.
  • Collaborative team environment.
Machinify logo

Machinify

Machinify is a pioneering company specializing in AI-powered software solutions that revolutionize healthcare claims and payment operations. With a focus on addressing the significant issue of claims mispayments in the healthcare industry, which amounts to over $200 billion annually, Machinify leverages its advanced AI platform to enhance the speed and accuracy of claims processing. The company is dedicated to driving innovation and excellence in a fast-paced environment, fostering a culture of collaboration and continuous improvement while providing a flexible work environment for its distributed team.

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