About this role
Summary: Builds and evaluates AI agents and ML models in the NLP domain to improve medical coding and healthcare billing accuracy. Contributes to internal AI frameworks and works with Operations and customers to drive product improvements.
The Idea
Max AI is evolving healthcare billing into a lightning-fast, error-free experience—much like swiping a credit card. Replacing traditional, off-shored, and error-prone methods, our swarm of ambient AI agents autonomously handle the entire billing process—from medical coding to claim submission to fund collection—as soon as doctors finalize patient charts. Our mission is to build the AI agent infrastructure powering the financial operating system of healthcare.
The Role
- As our AI/ML Engineer, you will:
- Build, experiment, and evaluate AI agents and ML models in the NLP domain to improve the accuracy of medical coding/billing and other aspects of revenue cycle management.
- Contribute to the building of internal AI frameworks to enable the building of our AI agents and ML models
- Collaborate closely with a small, high-impact team and engage directly with our Operations team and our customers to drive meaningful improvements.
- How We Work
- Complete product ownership: tackle challenges across the board rather than working in silos.
- An agile, iterative process with clear accountability.
- Regular interactions with customers to ensure our product continuously evolves to meet their needs.
- What We Value
- A proactive mindset: Spot and resolve issues, continuously driving improvements.
- Commitment to lifelong learning and personal growth.
- Positivity, collaboration, and a team-first attitude.
- Clear communication skills
- Requirements
- 6+ years of ML/AI/data science in a production setting
- Well-versed in using ML/NLP python packages such as tensorflow, pytorch, scikit-learn, transformers (including others for working with huggingface models)
- Expertise in AI/ML and specifically in NLP (pre-processing, embeddings, transformer-based models, etc)
- Experience with LLM, including supervised fine-tuning, usage of AI frameworks, evaluations of LLMs
- Nice to Have
- Experience working at high-growth startups
- Exposure in highly regulated industries and/or healthcare
- Experience with AWS