Tebra

Staff Machine Learning Engineer

Tebra

3 months ago
Remote
Full Time
Senior
5 applicants
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Tebra
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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.

Skills

Tebra

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.

About Tebra

Headquarters

San Francisco, CA

Company Size

201-500 employees

Founded

2018

Industry

Technology

Glassdoor Rating

4.2 / 5

Leadership Team

Sarah Johnson

Chief Executive Officer

Michael Chen

Chief Technology Officer

Emily Williams

VP of Engineering

David Rodriguez

VP of Product

Jessica Thompson

Chief Financial Officer

Andrew Park

VP of Sales

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