Senior ML Engineer

Data Pipeline & Knowledge Base Construction:  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. Develop and integrate "tools" (specialized LMs and external APIs) that perform atomic medical necessity tasks, ensuring strict behavioral alignment and structured outputs. Work closely with subject matter experts, product managers, and other engineers to translate complex requirements into technical solutions and evaluate system performance.
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, Tensor Flow, 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. Ability to leverage AI tools and platforms to streamline workflows, improve decision-making, and drive innovation.

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.
** 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 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit  or follow  on Twitter.
* 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 Linked In 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
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