Ml Engineer

Summary

Join Machinify, a leader in AI-powered healthcare claims software, as a key member of our engineering team. You will build and scale AI/ML systems for payment integrity and audit solutions, collaborating closely with data scientists. Your work will focus on accelerating data science experimentation, automating complex review processes, and implementing advanced AI approaches like AI agents. You'll need expertise in machine learning, big data technologies, and a proven track record of automation in healthcare. Success requires strong collaboration skills and a passion for pushing AI boundaries. The role demands a strong CS foundation and experience with Java/Scala.

Requirements

• Expertise in machine learning and AI/ML, with a strong background in implementing state-of-the-art AI/ML solutions into production environments
• Production experience with big-data technologies and systems for handling sophisticated AI-driven workflows
• Proven track record in reducing manual processes through automation, especially in areas requiring domain-specific expertise like healthcare payer rules and medical staff review
• Strong collaboration skills to work effectively with data scientists and other engineers in a cross-functional team environment. Ability to synthesize requirements into deep technical design through collaboration across Data Science, Data Engineering, and Engineering teams
• A passion for pushing the boundaries of AI to achieve higher accuracy and efficiency than human counterparts
• Bachelors of Science in CS or related field
• 3+ years building and shipping production AI/ML solutions and co-working with Data Scientists
• Experience with Java/Scala or similar languages
• Strong CS foundation (data structures, asynchronous programming)
• Strong test writing discipline
• Experience with reading and understanding complex enterprise-grade code and quickly contributing to it, and suggesting improvements

Responsibilities

• Build systems that accelerate and scale the use of AI/ML innovations in Machinify’s production platforms, focusing on Payment Integrity and Audit solutions
• Build systems that enable high velocity and robust end-to-end data science experimentation cycles
• Drive projects aimed at significantly reducing manual audit review times and automating complex review types. Build upon our existing cutting-edge NLP and traditional ML approaches to achieve and exceed human-caliber interpretation of both claim data and medical records
• Deeply collaborate with Data Science, Data Engineering in order to deliver results through end-to-end solutions
• Explore and implement advanced AI approaches like AI agents to automate workflows and support increasingly complex use cases