ABOUT THIS POSITIONWe 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 DOData 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.
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
