Senior ML Engineer - Healthcare AI Innovation

Senior ML Engineer - Healthcare AI Innovation

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. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.

This position is based out of our headquarters in the Greater Seattle area.  #LI-hybrid

About Truveta   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.    This Opportunity

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. 

Who You Are

• Builder + Explorer: You enjoy creating robust systems while also venturing into uncharted problem spaces
• Curious: You ask not just “how do we solve this?” but “what should we be solving next?”
• Impact-driven: You care about applying AI to meaningful healthcare challenges
• Comfortable with ambiguity: You thrive in environments where problems are not fully defined
• Collaborative: You work effectively across technical and clinical domains 

What You'll Do

• Build & Innovate: Design and implement advanced ML models and systems using large-scale EHR data
• Explore New Frontiers: Identify and develop novel use cases for AI in healthcare that have not yet been widely explored
• Work Across Modalities: Leverage structured and unstructured clinical data, and integrate emerging data types such as genomics, imaging, and clinical notes
• Translate Research into Practice: Prototype new ideas and evolve them into production-ready solutions
• Collaborate Broadly: Partner with clinicians, researchers, product teams, and external stakeholders (e.g., pharma, life sciences organizations)
• Deliver Impact: Build solutions that enable better decision-making for customers and ultimately improve patient outcomes 

What We're Looking For

Basic Qualifications

• • 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) 

Preferred Qualifications