Jobs at Machinify

Lead and grow the AI/ML Engineering team, manage core AI/ML platform development, ensure production-grade service operational excellence, and develop product strategies.

The Data Scientist will build machine learning models to enhance claim audits, optimize performance, and improve healthcare decision-making by analyzing complex data sets.

As a Staff NLP Scientist, you will solve complex medical document understanding problems using NLP and Computer Vision, optimizing models for performance and scalability.

The DRG Manager will manage clinical solutions, oversee claims reviews, lead the DRG team, and ensure compliance with healthcare payment methodologies and regulatory requirements.

As a DRG Reviewer, you will conduct DRG payment validation reviews, assess medical records, document findings, and ensure compliance with payment standards.

As a Staff Software Engineer, you'll design and develop systems to integrate AI in healthcare payment processes, mentor engineers, and optimize workflows.

The Senior Software Engineer will design and build scalable data solutions, manage backend systems, and enhance performance leveraging Golang and Python. Responsibilities include optimizing ETL processes and collaborating with teams to meet evolving customer needs.

The DRG Reviewer audits MS-DRG and APR-DRG claims for accuracy, validates medical records, collaborates with team leaders, and maintains compliance with healthcare payment methodologies.

The Sr/Staff Frontend Engineer will develop new web applications, enhance UI experiences, architect solutions, and collaborate with various stakeholders to ensure a scalable and secure platform.

As a Senior Data Engineer, you'll transform raw data into datasets, design production pipelines, integrate customer data, and collaborate with various teams to ensure data quality and reliability.

As a Senior Content Analyst, you will interpret healthcare policies to develop claims editing logic, validate claims, and ensure compliance with reimbursement standards. You'll work autonomously and collaborate across teams to refine content approaches and monitor regulatory changes.

The Staff Data Scientist will advance machine learning models to optimize claim audits and improve business outcomes in healthcare.

The NLP Scientist will solve complex medical document understanding problems using NLP and CV methodologies, optimize models for performance, and make data-driven decisions.

The Lead Rust Software Engineer will design and build scalable applications, mentor teams on Rust, and contribute to complex product development.

The Staff Data Scientist will lead the development and deployment of ML and GenAI systems to detect billing errors and fraud in healthcare payments, collaborating with cross-functional teams.

The Staff Software Engineer will design and build scalable backend systems, lead projects, and contribute to enterprise software solutions, focusing on application architecture, API development, and ML techniques.

The Client Success Leader at Machinify will enhance client satisfaction and operational processes, ensuring value delivery through support strategies while managing relationships and insights from healthcare data.

Contract Senior Events Manager to execute B2B event programs including conferences, webinars, customer events, and an annual customer summit. Manage logistics, vendor relationships, budgets, lead capture and CRM integrations, event communications, reporting, and on-site coordination. Collaborate with Sales, Customer Success, Demand Gen, and Product Marketing; provide event performance reporting to leadership. Role is fully remote with occasional travel for key events; term ~6 months.

Own the Coordination of Benefits product line, overseeing its strategy, execution, and financial performance while collaborating with cross-functional teams to optimize outcomes.

Review facility claims and medical records to determine billing, coding, and clinical appropriateness per client policy and industry guidelines. Research policies, identify experimental/Do Not Bill/HAC charges, analyze medications and itemized bills, develop review content and references, support client initiatives and appeals, train staff, and meet productivity and accuracy targets.