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Software Engineering Intern, Spring

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Software Engineering Intern, Spring in USA

  • Abridge
  • Full time
  • Email
  • San Francisco, CA

Responsibilities

  • Design and build end-to-end features that enhance existing systems and support agentic LLM workflows.
  • Fix user-facing bugs and improve 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.
  • Develop empathy for clinicians and understand their workflow challenges while receiving mentorship from experienced engineers.

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.
  • Uses AI tooling to write, debug, and learn while knowing when to verify its output.
  • 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 Spring 2027 internship with possible extension and potential return offer for high-performing interns.
  • Must work onsite at the San Francisco Potrero office five days per week.
  • Relocation to San Francisco is supported through reimbursements.
  • Hourly base salary of $40.
  • Interns receive mentorship and hands-on learning opportunities.
  • Abridge offers paid holidays, accrued time off for hourly employees, health coverage for full-time employees, HSA contributions, parental leave, family-forming benefits, 401(k) matching, device allowance, pre-tax benefits, lifestyle wallet contributions, mental health support, and other benefits where applicable.

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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