Member of Technical Staff, Intern

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Member of Technical Staff, Intern in USA

Abridge
Full time
Email

USA
10/01/2026
Report

San Francisco, CA

Responsibilities

Design and build end-to-end features that enhance existing systems and contribute to agentic LLM workflows.
Fix user-facing bugs and make quality-of-life improvements across backend and frontend systems.
Use evaluation frameworks to measure accuracy, robustness, and clinical reliability.
Prototype with new models, prompting techniques, and open-source orchestration tools.
Collaborate with design, product, machine learning, and infrastructure teams to ship customer-facing features.
Work with an experienced software engineering mentor and collaborate with teammates within the assigned pod.

Requirements

Currently pursuing a bachelor’s or master’s degree in computer science, software engineering, or a related technical field.
Strong interest in pursuing a full-time software engineering role in 2027.
Experience using AI tooling to write, debug, and learn faster while verifying its output appropriately.
Passion for and understanding of Abridge’s healthcare mission.
Curious, adaptable, proactive, collaborative, and eager to learn in a fast-paced startup environment.

Benefits

Three-month internship program in Spring 2027, with possible extension and potential return offers for high-performing interns.
Must work from Abridge’s San Francisco office five days per week.
Relocation to San Francisco is supported through reimbursements.
Interns receive mentorship and hands-on learning opportunities.
Benefits described for eligible full-time employees include paid holidays, health coverage, HSA contributions, parental leave, family-forming benefits, 401(k) matching, device allowance, pre-tax benefits, lifestyle wallet contributions, mental health support, and sabbatical leave.

Abridge

Founded in 2018, Abridge is the first AI-native clinician intelligence platform organized around the patient, built for clinicians, and designed to help health systems coordinate the clinical, financial, and evidence-based decisions for every moment of care. Powered by purpose-built AI for health...

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