(March 19th Career Fair) Early Careers: Software Engineering & Machine Learning Internships

(March 19th Career Fair) Early Careers: Software Engineering & Machine Learning Internships 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 85,000 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 (1-2 days remote/week possible) Start Date: 2026 Commitment: Full-time / 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. - Comfortable coding in at least one: Java, Kotlin, Python, or TypeScript. - Passionate about AI, data, or building meaningful product features. - Curious, collaborative, and excited to learn. - Humble and resilient — you ask questions, take feedback, and grow. NICE-TO-HAVES (BUT NOT REQUIRED) - Internship or personal projects in AI, full-stack, or backend systems. - Experience with React, GraphQL, or cloud infrastructure. - Knowledge of CI/CD, Docker, or automated testing. LIFE AT NABLA When you become a part of our company, you join a team of excellence-driven, curious, and genuinely kind individuals. Together, we're committed to making clinicians' lives easier and improving healthcare experiences for everyone. We believe in a world where clinicians can focus on what they were trained to do - caring for their patients, and where no patient feels their visit was rushed. We come to work excited to leverage AI to do more for clinicians. We’re obsessed with our users’ satisfaction and we actively seek out opportunities to engage one-on-one with clinicians to understand how Nabla can better help. We consistently look for ways to improve and do not shy away from doing the work to excel. Whether it’s a feature our users asked for, or a new article for our blog, we prioritize collaboration to deliver exceptional outcomes. We love having fun as much as we love work. Our #nablabla channel is as active as our #feature-show-off channel, we exercise during the work day at least 3 times a week (yoga, running, pilates, or HIIT, your choice!), enjoy regular off-sites to gather the team, and travel to see each other in places like NY, Paris, San Francisco, and many other vibran ... (truncated, view full listing at source)