Senior ML Engineer II

ABOUT THIS POSITION

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 Statistics or a related quantitative field. Ph.D. preferred.

• 5+ years of professional experience in machine learning engineering with a strong track record of deploying and maintaining ML models in production environments.

• Expertise in programming languages such as Python (with extensive experience in ML libraries like TensorFlow PyTorch Scikit-learn).

• Deep understanding of machine learning fundamentals including supervised unsupervised and reinforcement learning techniques as well as deep learning architectures.

• Strong experience with cloud platforms (AWS Azure GCP) and their ML services.

• Proficiency in building and managing data pipelines using tools like Spark Kafka SQL and NoSQL databases.

• Demonstrated experience with MLOps principles and tools (e.g. MLflow Kubeflow Sagemaker Airflow).

• Excellent problem-solving skills and the ability to work independently on complex issues.

• Strong communication and interpersonal skills with the ability to collaborate effectively in a cross-functional team.

• Experience in the healthcare technology domain is a significant plus.

• Proven ability to lead technical initiatives and influence architectural decisions.

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.

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.