Job Description
ABOUT THIS POSITION
We are seeking a highly skilled and innovative Senior ML Engineer with a passion for building robust efficient and domain-specific AI systems using Language Models (LMs) and agentic architectures. As a core member of the team you will be instrumental in developing the entire ML pipeline from sophisticated data extraction techniques to fine-tuning specialized LMs and orchestrating their interactions within a multi-agent framework.This is a unique opportunity to apply state-of-the-art Generative AI and NLP techniques to a real-world high-impact problem leveraging the latest research in agentic AI and LMs to deliver economical and powerful solutions.
WHAT YOU'LL DO
Data Pipeline & Knowledge Base Construction:
Design implement and optimize robust pipelines for ingesting parsing and extracting structured information from complex documents (leveraging OCR document layout analysis Named Entity Recognition (NER) and Relationship Extraction (RE).
Develop rich nested JSON schemas for representing structured data and ensure scalable storage
Generate and manage high-quality vector embeddings for efficient retrieval-augmented generation (RAG) within a Vector Database.
Language Model (LM) Development & Fine-tuning:
Research select and experiment with appropriate open-source Language Models (Large & Small) (e.g. Phi-3 Mistral Llama Nemotron-H families) for specialized tasks.
Design and execute efficient fine-tuning strategies (e.g. LoRA QLoRA full fine-tuning) on curated domain-specific datasets to achieve precise performance for tasks like coverage determination code lookups and policy rule application.
Explore and implement knowledge distillation techniques to transfer capabilities from larger models to smaller more efficient LMs.
Agentic System Design & Implementation:
Build and maintain the core agentic framework including the orchestrator that intelligently routes queries and coordinates interactions between various specialized LM tools.
Develop and integrate "tools" (specialized LMs and external APIs) that perform atomic medical necessity tasks ensuring strict behavioral alignment and structured outputs.
MLOps & Deployment:
Deploy manage and monitor LMs and agentic components on Google Cloud Platform (GCP) using services like Vertex AI GKE Cloud Functions and Cloud Run.
Implement robust MLOps practices for continuous integration continuous delivery (CI/CD) model versioning and performance monitoring (latency throughput accuracy).
Continuous Improvement & Research:
Establish effective feedback loops from end-user interactions and system logs to identify areas for model improvement.
Curate and expand training datasets ensuring data privacy (PHI/PII masking) and legal compliance.
Stay abreast of the latest research in LMs agentic AI NLP and document understanding applying relevant advancements to our system.
Collaboration:
Work closely with subject matter experts product managers and other engineers to translate complex requirements into technical solutions and evaluate system performance.
WHAT YOU'LL NEED
Bachelor's or Master's degree in Computer Science Machine Learning Artificial Intelligence or a related quantitative field.
3+ years of professional experience in Machine Learning Engineering with a strong focus on NLP.
Proven experience with Language Models (LMs) including model selection fine-tuning and deployment.
Strong proficiency in Python and familiarity with ML frameworks (e.g. PyTorch TensorFlow Hugging Face Transformers).
Solid understanding and hands-on experience with core NLP techniques and architectures especially Transformers.
Experience with cloud platforms particularly Google Cloud Platform (GCP) including services like Vertex AI Cloud Storage and compute services.
Familiarity with MLOps principles and tools for model serving monitoring and pipeline automation.
Excellent problem-solving skills attention to detail and ability to work independently and collaboratively.
Active use of artificial intelligence (AI) tools and techniques to enhance performance drive innovation and improve decision-making across business functions.
Ability to leverage AI tools and platforms to streamline workflows improve decision-making and drive innovation.
Curiosity and adaptability in exploring emerging AI technologies with a mindset for continuous learning and experimentation.
What Will Make You Stand Out (Preferred Qualifications):
Hands-on experience building or contributing to agentic AI systems or multi-agent frameworks.
Direct experience with document processing technologies such as OCR layout parsing Document AI or custom information extraction from unstructured text.
Experience with Vector Databases (e.g. pgvector Pinecone Weaviate Qdrant) and RAG architectures.
Exposure to the healthcare domain particularly understanding medical terminology CPT/ICD codes or regulatory documents.
ABOUT WAYSTAR
Through a smart platform and better experience Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.
Waystar’s healthcare payments platform combines innovative cloud-based technology robust data and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers 1K+ hospitals and health systems and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work always; making it happen; and joyful optimistic & fun.
Waystar products have won multiple Best in KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book™ surveys since 2012. The Waystar platform supports more than 500000 providers 1000 health systems and hospitals and 5000 payers and health plans. For more information visit waystar.com or follow @Waystar on Twitter.
WAYSTAR PERKS
- Competitive total rewards (base salary + bonus if applicable)
- Customizable benefits package (3 medical plans with Health Saving Account company match)
- We offer generous paid time off for our non-exempt team members starting with 3 weeks + 13 paid holidays including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
- Paid parental leave (including maternity + paternity leave)
- Education assistance opportunities and free LinkedIn Learning access
- Free mental health and family planning programs including adoption assistance and fertility support
- 401(K) program with company match
- Pet insurance
- Employee resource groups
Waystar is proud to be an equal opportunity workplace. We celebrate value and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race color religion age sex national origin disability status genetics marital status protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws.
This applies to all terms and conditions of employment including recruiting hiring placement promotion termination layoff recall transfer leaves of absence compensation and training.
Top Skills
What We Do
Waystar provides market-leading technology that simplifies and unifies healthcare payments. Our cloud-based platform streamlines workflows and improves financials for healthcare providers of all kinds and brings more transparency to the patient financial experience. The Waystar platform is used by more than 450k providers 750 health systems and hospitals and 5k health plans—and integrates with all major HIS and practice management systems. The financial and administrative challenges facing healthcare providers are daunting. Waystar’s technology platform simplifies and unifies healthcare payments across the revenue cycle. We empower healthcare organizations to automate manual work gain insight into processes and performance and ultimately collect more revenue. At Waystar we know there’s a better more efficient way forward. Let’s climb the mountain ahead of us to reach new heights in healthcare.
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Date Posted
04/04/2026
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