Senior Machine Learning Engineer, Patient Health Intelligence

Job Description:
• Longitudinal Patient Health Views - Design and build comprehensive, longitudinal representations of patient health by aggregating and normalizing data from electronic health records, lab results, genomic reports, and other clinical sources.
• Agentic Workflows - Architect and implement personalized agentic AI workflows for interacting with patient health data and automating patient outreach (e.g., follow-up scheduling, result delivery, care gap identification).
• Data Warehouse Integration - Integrate AI systems with the GeneDX data warehouse, ensuring reliable data pipelines, appropriate data governance, and performance access patterns.
• Interface Design and Development - Collaborate with product and design teams to build intuitive, delightful user interfaces for clinicians and patients to explore and interact with health data.
• Generative AI and NLP - Apply generative AI techniques for clinical information extraction, summarization, and conversational interfaces over health records.
• Technical Leadership - Develop new methods and approaches for complex problems; mentor junior engineers; contribute to architectural decisions within the team.
Requirements:
• 8+ years of professional software engineering experience, with significant depth in AI/ML.
• Python expertise - Advanced proficiency; this is your primary language.
• Agentic AI systems - Hands-on experience building agentic workflows, autonomous agents, and/or conversational AI / chatbot systems.
• Agentic coding - Expertise leveraging AI-assisted coding tools and workflows for rapid, high-quality development.
• Electronic Health Data - Familiarity with EHR systems, medical records, HL7/FHIR standards, and healthcare data formats.
• Clinical ontologies - Experience working with SNOMED-CT, ICD-10, LOINC, RxNorm, HPO, or similar clinical terminologies.
• Generative AI - Proven experience applying LLMs and generative models for information extraction, summarization, and/or retrieval-augmented generation (RAG).
• Data integration - Experience integrating with data warehouses and building reliable data pipelines.
• Develop new methods and approaches for solving complex problems.
• Be accountable for significant portions of projects with proven, consistent contributions.
• Work on complex issues requiring in-depth evaluation and independent judgment.
• Collaborate cross-functionally with product, design, clinical, and data teams.
Benefits:
• Paid Time Off (PTO)
• Health, Dental, Vision and Life insurance
• 401k Retirement Savings Plan
• Employee Discounts
• Voluntary benefits