Machine Learning Engineer

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, 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. 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 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 Equal Opportunities and Accommodations Statement Waystar is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We’re proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro‑diversity, disability, veteran status, or any other characteristic protected by federal, state, or local laws. Benefits - Health, Work/Life Harmony, & Wellbeing We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company's 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 11 paid holidays a year and up to 26 weeks of paid parental leave. Salary Range Transparency Tier 1 – United States of America $138,000 – $208,000 USD per year Tier 2 – United States of America $154,000 – $230,000 USD per year Tier 3 – United States of America $169,000 – $253,000 USD per year Tier 4 – United States of America N/A Tier 5 – United States of America $193,000 – $289,000 USD per year Salary Range Disclaimer The salary range for this role reflects the minimum and maximum compensation for the role. Offers are typically made between the range minimum and the range midpoint. Actual compensation will be determined based on job‑related skills, experience, and expertise, as evaluated during the interview process. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region‑specific benefits. Compensation may also vary based on where a role is performed, as work locations are grouped into geographic pay tiers to reflect cost of labor differences in different geographic markets. Candidates can view geographic pay tiers by location on our career site ( and recruiters can confirm how location is considered for a specific role. #J-18808-Ljbffr