Waystar
Senior ML Engineer
Lehi, UT · Senior
Sponsorship not specifiedDetected 30 days ago
PythonVector DatabasesGCPCloud PlatformsCI/CDMachine LearningTensorFlowPyTorchNLPLLMsRAGAgentic AIMLOpsHIPAAResearchCollaborationProblem SolvingAdaptability
About the role
- Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers.
- 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.
- For more information, visit waystar.com or follow @Waystar on Twitter.
Responsibilities
- 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.
- 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.
- 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).
- Stay abreast of the latest research in LMs, agentic AI, NLP, and document understanding, applying relevant advancements to our system.
- Active use of artificial intelligence (AI) tools and techniques to enhance performance, drive innovation, and improve decision-making across business functions.
Nice to have
- 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.
Skills
- Job Description Summary
Compensation
- Competitive total rewards (base salary + bonus, if applicable)
Benefits
- Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.
- 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
- Develop and integrate "tools" (specialized LMs and external APIs) that perform atomic medical necessity tasks, ensuring strict behavioral alignment and structured outputs.
- 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.
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This listing is sourced directly from Waystar's careers page and normalized into a canonical job model.