Staff ML Engineer: AI in Healthcare Payments (Remote)

Machinify

United States

Remote

USD 180,000 - 250,000

Full time

4 days ago
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Benefits offered by this job

Work from anywhere in the US
Medical/Dental/Vision
FSA/HSA
401(k) with company match
Unlimited PTO
Equity

Job summary

Machinify, a leading healthcare intelligence company, is hiring a Staff ML Engineer to design and deploy large-scale AI-powered systems for Payment Integrity and Audit solutions. You will lead document processing pipelines and agentic workflows, processing hundreds of millions of documents annually.

You’ll collaborate with Data Science, Data Engineering, and Product teams to ensure reliability, observability, and explainability, while mentoring engineers and reducing manual work through

Qualifications

  • Experience building production AI/ML systems.
  • Track record shipping enterprise-grade AI/ML systems.
  • Strong testing and code quality discipline.
  • Experience with big-data tools and distributed systems.
  • Automation-focused to reduce manual processes.

Responsibilities

  • Lead design and development of large-scale AI systems.
  • Build document processing pipelines handling hundreds of millions of documents yearly.
  • Design agentic workflows and prompt development.
  • Collaborate with Data Science, Data Engineering, Product teams.
  • Improve observability, reliability, and explainability of LLM outputs.

Skills

Java
Python
Scala
Distributed systems
AI/ML production
Big data

Education

BS/MS in CS

Tools

Prometheus
Grafana
Spark
Kafka
Airflow
Ray
Flink

Job description

Machinify, a leading healthcare intelligence company, is hiring a Staff ML Engineer to design and deploy large-scale AI-powered systems for Payment Integrity and Audit solutions. You will lead document processing pipelines and agentic workflows, processing hundreds of millions of documents annually.

You’ll collaborate with Data Science, Data Engineering, and Product teams to ensure reliability, observability, and explainability, while mentoring engineers and reducing manual work through

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