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Engineering Internships 2027

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EMP:Technology
Paris office
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NablaWe are a team of entrepreneurs, clinicians and engineers committed to bringing back joy to the practice of medicine.Together with a community of clinician innovators, we’ve harnessed the best of machine learning science to develop Nabla: the leading AI assistant that’s restoring the human connection at the heart of healthcare

By streamlining clinical documentation, Nabla is helping clinicians focus on what matters most - patient care.

Today, over 100,000+ clinicians across 130+ healthcare organizations trust Nabla to support how they deliver care every day.

We’re at the start of an ambitious journey: Ambient listening, dictation, coding, and command capabilities are all converging into a proactive assistant that intuitively streamlines clinical and financial workflows.

Backed by a recent $70M Series C, we’re hiring to build the next generation of clinical AI and improve the lives of clinicians and patients everywhere.

This is a great time to join us!Early Careers: Software Engineering & Machine Learning We’re looking for early-career engineers who want to learn fast, work with experienced mentors, and make a real impact from day one.

You’ll join a collaborative, mission-driven team where technical curiosity and humility matter as much as skill.

Location: Paris (Hybrid)Start Date: 2027 (or as early as possible)Commitment: Internship-to-hireWhat we OfferReal Impact from Day One: You won’t be stuck with small tasks: you’ll contribute to real features and products.

Learning Everywhere: We believe in mentorship, pair programming, and leveling up together.

Lean, Ambitious Team: Be part of a fast-moving, deeply technical culture where your contributions matter.

Healthcare Mission: Help doctors, nurses, and care teams spend more time with PatientsCareer Launchpad: Many interns convert to full-time, and early engineers grow quickly.

We work across multiple domains:Apps: Web app, frontend logic, UI/UXPlatform: Backend services, infrastructure, APIsCore (ML): Algorithms.

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