Senior Machine Learning Engineer Jobs in Atlanta, GA

Job Summary:
Waystar is a company dedicated to simplifying healthcare payments through innovative technology. They are seeking a Senior Machine Learning Engineer to develop robust AI systems utilizing Language Models and agentic architectures, focusing on the entire ML pipeline from data extraction to deployment.
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.
• 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.
• 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.
• 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).
• 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.
• Work closely with subject matter experts, product managers, and other engineers to translate complex requirements into technical solutions and evaluate system performance.
Qualifications:
Required:
• 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.
Preferred:
• 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.
Company:
Waystar is a technology platform that provides healthcare revenue cycle management solutions. Founded in 2017, the company is headquartered in Louisville, USA, with a team of 1001-5000 employees. The company is currently Late Stage.