GeneDx is seeking a Senior Machine Learning Engineer to design and build intelligent systems that transform how patients and clinicians interact with health data. This is a hands-on, high-impact individual contributor role requiring 8-10 years of experience and deep expertise across generative AI, clinical data systems, and modern software engineering.
What You'll Do
- 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.
- Architect and implement personalized agentic AI workflows for interacting with patient health data and automating patient outreach.
- Integrate AI systems with the GeneDX data warehouse, ensuring reliable data pipelines, appropriate data governance, and performance access patterns.
- Collaborate with product and design teams to build intuitive, delightful user interfaces for clinicians and patients to explore and interact with health data.
- Apply generative AI techniques for clinical information extraction, summarization, and conversational interfaces over health records.
- Develop new methods and approaches for complex problems; mentor junior engineers; contribute to architectural decisions within the team.
What We're Looking For
- 8+ years of professional software engineering experience, with significant depth in AI/ML.
- Advanced proficiency in Python as primary language.
- Hands-on experience building agentic workflows, autonomous agents, and/or conversational AI / chatbot systems.
- Expertise leveraging AI-assisted coding tools and workflows for rapid, high-quality development.
- Familiarity with EHR systems, medical records, HL7/FHIR standards, and healthcare data formats.
- Experience working with SNOMED-CT, ICD-10, LOINC, RxNorm, HPO, or similar clinical terminologies.
- Proven experience applying LLMs and generative models for information extraction, summarization, and/or retrieval-augmented generation (RAG).
- Experience integrating with data warehouses and building reliable data pipelines.
- Ability to develop new methods and approaches for solving complex problems.
- Proven track record of being accountable for significant portions of projects with consistent contributions.
- Aptitude for working on complex issues requiring in-depth evaluation and independent judgment.
- Ability to collaborate cross-functionally with product, design, clinical, and data teams.
Nice to Have
- Experience in genomics, genetic testing, or precision medicine.
- Experience with building rich data interfaces.
- Knowledge of HIPAA compliance and healthcare data privacy requirements.
- Bachelors degree in Computer Science, AI/ML, Biomedical Informatics, or related field; Masters preferred.
Technical Stack
- Python, AI/ML, Generative AI, LLMs, Agentic AI, NLP, Data Warehouses
- HL7/FHIR, SNOMED-CT, ICD-10, LOINC, RxNorm, HPO
Team & Environment
This is an individual contributor role.
Benefits & Compensation
- Compensation range: $190,000—$210,000 USD
- Paid Time Off (PTO)
- Health, Dental, Vision and Life insurance
- 401k Retirement Savings Plan
- Employee Discounts
- Voluntary benefits
Work Mode
This role is open to candidates globally.
GeneDx is an Equal Opportunity Employer.
