Senior ML Engineer - Healthcare AI Innovation

Location: Seattle, WA

Department: Engineering

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

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

• • 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) 

Why Truveta?

Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional, and everything in between. Join us as we build an amazing company together.

We Offer:

• 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)
• The base pay for this position is $175,000 to $200,000. The pay range reflects the minimum and maximum target. Pay is based on several factors including location and may vary depending on job-related knowledge, skills, and experience. Certain roles are eligible for additional compensation such as incentive pay and stock options.

If you are based in California, we encourage you to read this important information for California residents linked here.

Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don’t meet all of the requirements.

Please note that all applicants must be authorized to work in the United States for any employer as we are unable to sponsor work visas or permits (e.g. F-1 OPT, H1-B) at this time. We appreciate your interest in the position and encourage you to explore future opportunities with us.