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AI/ML Engineer - Remote

Posted 11 weeks ago
Software Development
Full Time
CA, USA

Overview

Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.

In Short

  • Build systems that accelerate and scale the use of AI/ML innovations in Machinify’s production platforms.
  • Work closely with data scientists on ensuring state-of-the-art AI systems can scale flexibly.
  • Drive projects aimed at reducing manual audit review times and automating complex review types.
  • Collaborate with Data Science and Data Engineering to deliver end-to-end solutions.
  • Explore and implement advanced AI approaches to automate workflows.

Requirements

  • Expertise in machine learning and AI/ML with production experience.
  • Experience with big-data technologies for AI-driven workflows.
  • Proven track record in reducing manual processes through automation.
  • Strong collaboration skills in a cross-functional team environment.
  • A passion for pushing the boundaries of AI for higher accuracy and efficiency.

Benefits

  • Equal Employment Opportunity at Machinify.
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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