Lead ML Engineer

Position Overview

• Location Type: Remote
• Job Type: Full-Time
• Salary: Not provided

Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. The company’s revolutionary AI platform has enabled the development and deployment of industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.

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.
• Work closely with data scientists on ensuring that state-of-the-art AI systems, including LLM prompt engineering, RAG, agents, and other techniques, can scale flexibly in Machinify services.
• 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 existing NLP and traditional ML approaches to achieve and exceed human-caliber interpretation of both claim data and medical records.
• Deeply collaborate with Data Science and Data Engineering 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.

Requirements

• Expertise in machine learning and AI/ML: Strong background in implementing state-of-the-art AI/ML solutions into production environments.
• Production experience: Experience with big-data technologies and systems for handling sophisticated AI-driven workflows.
• Proven track record: A record of reducing manual processes through automation, especially in areas requiring domain-specific expertise like healthcare payer rules and medical staff review.
• Collaboration skills: Ability to work effectively with data scientists and other engineers in a cross-functional team environment.
• Technical Design: Ability to synthesize requirements into deep technical design through collaboration across Data Science, Data Engineering, and Engineering teams.
• Passion for AI: A passion for pushing the boundaries of AI to achieve higher accuracy and efficiency than human counterparts.

Technical Requirements

• Education: Bachelors of Science in CS or related field.
• Experience: 3+ years building and shipping production AI/ML solutions and co-working with Data Scientists.
• Language Proficiency: Experience with Java/Scala or similar languages.
• CS Foundation: Strong CS foundation (data structures, asynchronous programming).
• Testing: Strong test writing discipline.
• Code Understanding: Experience with reading and understanding complex enterprise-grade code and quickly contributing to it, and suggesting improvements.

Application Instructions

• Not provided

Company Information

Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Equal Employment Opportunity at Machinify.