Job description
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.
What You’ll Do:
Build systems that accelerate and scale the use of AI/ML innovations in Machinify’s production platforms, focusing on Payment Integrity and Audit solutions. You will 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 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.
What You’ll Bring:
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.
Technical Requirements:
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.
Equal Employment Opportunity at Machinify
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.
