# Senior AI/ML Engineer

**Company:** [Metriport](https://hotfix.jobs/companies/metriport)
**Location:** San Francisco, CA
**Role:** ML Engineering
**Salary:** $200k – $260k/yr
**Experience:** 7+ years
**Skills:** Machine Learning, Python, Deep Learning, Regression, Gradient Boosting, Feature Engineering, Dimensionality Reduction, SQL, AWS, TypeScript, Infrastructure As Code, Model Serving, FHIR, Snowflake
**Posted:** 2026-09-04

> Own machine learning end to end, from modeling messy clinical data through production deployment, monitoring, and infrastructure. The role requires 7+ years of experience building scalable ML systems, strong software and data engineering skills, and proficiency with Python, SQL, and cloud platforms.

## Job Description

## Responsibilities
- Build predictive models on clinical data at scale, including risk stratification, utilization prediction, and care-gap detection.
- Own the full machine-learning lifecycle: problem framing, feature engineering, training, evaluation, deployment, monitoring, retraining, and drift management.
- Convert unstructured clinical data such as PDFs, images, and doctors’ notes into structured records.
- Build ML infrastructure, including training and inference pipelines, experiment tracking, model versioning, and evaluation systems.
- Collaborate with founders, engineers, and customers to identify and prioritize high-leverage ML problems.
- Develop models for hospitalization prediction, clinical-document classification, and extraction from freeform medical notes and scanned documents.
- Build or operate cloud backend systems, model-serving infrastructure, data pipelines, and production monitoring.

## Requirements
- 7+ years building machine-learning systems that operate on real-world data at scale.
- Strong knowledge of regression, tree-based methods, feature engineering, dimensionality reduction, and deep learning.
- Experience building and training models directly, rather than only orchestrating APIs.
- Demonstrated delivery of ML systems with measurable production results.
- Strong software-engineering fundamentals and experience with large-scale cloud backend systems.
- Ability to own training pipelines, model serving, and monitoring end to end.
- Strong SQL and data-engineering skills, including working with large datasets and building model-input pipelines.
- Located in San Francisco or the Bay Area, or willing to relocate.

## Nice-to-haves
- Healthcare standards and technologies, including FHIR, HIE, IHE, EHR/EMR, NPI, TEFCA, ADT, HL7, HEDIS, RAF, SNOMED, LOINC, and ICD-10.
- Founder experience or experience as the first or only ML hire at an early-stage startup.

## Compensation and Benefits
- Competitive compensation and equity package.
- Family Platinum health, dental, and vision insurance.
- 401(k) with matching.
- Flexible work from home or in-office.
- Complimentary meals when working in the office.
- Quarterly company off-sites.
- Company-provided MacBook.
- Unlimited paid time off.

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