Senior ML Engineer - Healthcare AI Innovation
About The Position
Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Truveta is transforming healthcare by enabling researchers, clinicians, and life sciences organizations to learn from one of the most comprehensive collections of de-identified patient data in the United States. With access to longitudinal electronic health record (EHR) data from over 120 million patients (which represents over a third of the US population), we are uniquely positioned to drive breakthroughs in clinical research and improve patient outcomes. We are seeking a Sr. Machine Learning Engineer to help pioneer new applications of AI on large-scale, real-world clinical data. While this is an engineering role, it is deeply research-oriented and exploratory. You will work at the frontier of machine learning and healthcare, developing novel approaches that go beyond established patterns, turning cutting-edge ideas into scalable, impactful solutions. This role is ideal for individuals who enjoy both building systems and exploring new problem spaces, especially in domains where data, medicine, and AI intersect.
Requirements
- Bachelor’s or Master’s degree (or PhD) in Computer Science, Machine Learning, or a related field
- Strong foundation in machine learning, deep learning, or applied statistics
- Experience building and deploying ML models in real-world settings
- Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow)
Nice To Haves
- Experience working with healthcare or biomedical data (EHRs, clinical notes, genomics, imaging)
- Familiarity with modern ML approaches such as: Large language models / foundation models, Multimodal learning, Causal inference, Time-series and longitudinal modeling
- Experience bridging research and engineering (e.g., taking ideas from papers to production)
- Publications or demonstrated innovation in applied ML (a plus, not required)
Responsibilities
- Design and implement advanced ML models and systems using large-scale EHR data
- Identify and develop novel use cases for AI in healthcare that have not yet been widely explored
- Leverage structured and unstructured clinical data, and integrate emerging data types such as genomics, imaging, and clinical notes
- Prototype new ideas and evolve them into production-ready solutions
- Partner with clinicians, researchers, product teams, and external stakeholders (e.g., pharma, life sciences organizations)
- Build solutions that enable better decision-making for customers and ultimately improve patient outcomes
Benefits
- Interesting and meaningful work for every career stage
- Great benefits package
- Comprehensive benefits with strong medical, dental and vision insurance plans
- 401K plan
- Professional development & training opportunities for continuous learning
- Work/life autonomy via flexible work hours and flexible paid time off
- Generous parental leave
- Regular team activities (virtual and in-person)
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Number of Employees
101-250 employees
