Senior AI/ML Engineer
About the role
Senior AI/ML Engineer responsible for end-to-end machine learning across production systems, working with large-scale clinical data, delivering measurable results, and owning the ML lifecycle from problem framing to deployment and monitoring.
Responsibilities
- Building predictive models on clinical data at scale: risk stratification, expected utilization / prediction, care gap detection.
Qualifications
- 7+ years building ML systems that run against real data at scale.
- Strong grounding across the ML spectrum: regression and tree based methods, feature engineering and dimensionality reduction, and deep learning.
- A track record of ML delivering measurable results in production.
- Strong software engineering fundamentals: built or operated large scale backend systems on the cloud (ideally AWS) and can own training pipelines, model serving, and monitoring end to end.
- Strong data skills: SQL, working with large datasets, and building the pipelines that feed your models.
- You're located in San Francisco or the Bay Area (or willing to relocate).
Skills
Benefits
- Competitive equity + compensation package 🚀
- Full family Platinum health insurance, dental, and vision coverage 🦷
- 401(k) retirement plan + matching 💰
- Flexible work from home or in office 🏢
- Healthy lunches are complimentary when working in office (and breakfast + dinners as needed) 🍏
- MacBook provided by us 💻
- Unlimited PTO (we work hard, but trust you to take time you need to be at your best) 🧘♂️
About Metriport
Open-Source Platform for Healthcare Data Intelligence
Metriport provides real-time access to comprehensive medical data for 300M+ individuals across the US. Our open-source intelligence platform helps organizations access, analyze, and exchange patient data while integrating with all major healthcare IT systems. If you’ve been to doctors in the US, you may have encountered the problem: how does a healthcare provider get access to your up-to-date medical history to treat you properly? Reliance on archaic methods is still the norm: typically, you or your provider need to call the facilities where you’ve previously received treatment (assuming you remember them all), just to have them send your records via fax (yep, fax). This can take weeks, only then to have a provider sift through hundreds of pages of unstructured docs, just to figure out basic things like your active medication list, what conditions you may have, latest lab results, etc. This not only delays care—it can cause improper treatment, since the medical history is critical for informing treatment decisions. Metriport integrates fragmented medical data from thousands of sources—including both national and state/regional Health Information Exchanges (HIEs), ADTs, EHRs, pharmacies, and labs—through a single API connector. The platform then standardizes, deduplicates, and enriches this data to create a comprehensive longitudinal patient record, with AI-powered clinical summaries. Along with a rich understanding of patient health history, healthcare providers also get realtime updates about their patients' health through Metriport. This includes getting notified when a patient is discharged from the hospital, picks up their prescription from the pharmacy, or has a new lab result available. Through this data, care teams get insights across their patient population, helping with 30-day readmissions prediction, care gap closure, risk adjustment, and more. On top of all of this, Metriport enables healthcare organizations to share net-new clinical information back to all major healthcare IT systems, and to become interoperable with popular EHR systems such as Epic, Cerner, athena, eClinicalWorks, and many more—forming an internet for healthcare data. Metriport improves both patient and provider lives at the point-of-care, supporting use cases such as medication adherence, transitions of care management, chart prep, and much more. If you want to do work that matters, get in touch with us today.
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