Staff Machine Learning Engineer
Tebra
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
About Tebra
tebra.comTebra 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.
Recent company news
Tebra Secures $250 Million in Funding
Dec 22, 2025
Tebra scores $250M for EHR+ platform and more digital health funding news
Dec 23, 2025
Private Practice Platform Tebra Secures $250M to Accelerate AI Innovation
Dec 17, 2025
Tebra EMR Review and Pricing in 2026
Oct 28, 2025
Newport Beach’s Tebra Raises $250 Million to Fuel AI Push in Healthcare
Jan 12, 2026
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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View leadership team, funding history,
and employee contacts for Tebra.
Salary
$200k – $228k
per year