Overview We are on a mission to ensure everyone has access to medical expertise, no matter where they are.

Half the world still lacks access to quality healthcare. Even in advanced systems, outcomes are uneven, and clinicians are overwhelmed. Medical knowledge grows faster than human capacity can keep up.

Corti is building the infrastructure to close that gap. Our AI platform expands access to medical expertise, reducing errors, restoring time to clinicians, and making care more affordable, accessible, and human again.

There is no quality healthcare without a quality dialogue, and no reliable AI without a strong foundation. Help us build both.

Why Corti? Corti is building the intelligence layer for global healthcare. We give every developer, product team, and healthcare innovator access to medical-grade AI, so the world can deliver care that is faster, safer, and more human.

Built entirely for healthcare and adjacent industries, Corti’s models are trained on real-world data and optimized for precision, safety, and regulatory trust.

Through modular APIs, teams can embed medical speech recognition, summarization, reasoning, and much more directly into healthcare products without reinventing the foundation.

We power the builders who are redefining how healthcare works, from startups creating new patient experiences to enterprises modernizing the systems that care depends on.

If you believe that AI purpose-built for medicine will define the next century of healthcare, you belong at Corti.

The Role We're looking for an MLOps Engineer to help ensure our machine learning models run reliably and add value in production. In this role, you'll focus on monitoring, maintaining, and integrating models into products, while also helping move models into production.

What You'll Be Doing

• Own and manage the full lifecycle of both ML models and core infrastructure – from development and deployment to monitoring and continuous improvement.
• Build and maintain robust CI/CD pipelines for both software and ML workflows.
• Ensure reliability, scalability, observability, and security of production systems and ML infrastructure.
• Automate deployment, orchestration, and environment management using modern DevOps tooling.
• Collaborate closely with software engineers, ML engineers, and product teams to bring ML-powered features to production.
• Proactively detect, troubleshoot, and resolve infrastructure and model performance issues.

What You Bring

Life at Corti

• You will be reporting to the Director of Engineering
• The position is full-time and starts as soon as possible.
• Hybrid working environment in our Copenhagen Office
• Equipment provided by Corti

Ready to dive into the world of Corti? Hit that 'Apply' button, and let's start working together on reshaping the dialogue in healthcare, making a real difference for millions of patient outcomes around the world. *🤝 Bringing in top talent from all backgrounds is crucial in our pursuit to improve the world of healthcare. We encourage applications from all people and do not discriminate based on race, religion, national origin, gender, sexual orientation, age, and/or disability status.* At Corti, experience comes in many forms, and we’re passionate about creating teams with a multitude of perspectives! If you believe your experience is close to what we’re looking for but not an exact match, we still hope you’ll consider applying!