Software Engineer | GenAI, ML

Machinify-posted 3 months ago
Mid Level
Palo Alto, CA
1,001-5,000 employees
Resume
Match Score
Upload and Match ResumeTrack Jobs with Teal

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.

  • 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 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.
  • Expertise in machine learning and AI/ML, with a strong background in implementing state-of-the-art AI/ML solutions into production environments.
  • Strong Python or Java/Scala experience.
  • Production experience with big-data technologies and systems for handling sophisticated agentic 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.
Track Jobs with Teal

Job Search Resources

•
Resume Builder
•
Resume Examples
•
Cover Letter Examples

Tools

Career Hubs

Guides

Company

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service