EU remote
Engineering Internships 2027
About this role
About Nabla We 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-hire What we Offer Real 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 Patients Career Launchpad: Many interns convert to full-time, and early engineers grow quickly. We work across multiple domains: Apps: Web app, frontend logic, UI/UX Platform: Backend services, infrastructure, APIs Core (ML): Algorithms, models, data systems Your DNA Currently pursuing or recently graduated in Computer Science, Engineering, Applied Math, or a related field .