Staff Machine Learning Engineer

Tebra(1 month ago)

RemoteFull TimeSenior$200,000 - $227,700Machine Learning

About this role

The Staff Machine Learning Engineer will design, train, and operate production-grade ML systems that power Tebra’s healthcare platform, owning the full model lifecycle from data exploration to continuous improvement. This hands-on technical leadership role focuses on applying advanced ML techniques to messy real-world data, driving measurable automation and business impact while ensuring reliability and compliance in a regulated environment. The role collaborates across engineering, product, and data teams and mentors other engineers to establish best practices for model governance and observability.

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Required Skills

ML Pipelines
Model Deployment
Model Monitoring
Automated Retraining
Feature Engineering
Data Analysis
LLMs
Gradient Boosting
MLOps
CI/CD

+12 more

About Tebra

tebra.com

Tebra builds EHR and practice-management software for private practices. Its platform unifies clinical records, billing, scheduling, and reputation/patient‑communication tools into a single system to streamline operations. By combining workflow automation, revenue‑cycle features, and patient engagement capabilities, Tebra aims to reduce administrative burden and let clinicians focus on care. Practices use Tebra to improve efficiency, collections, and the patient experience.