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 As a Machine Learning Engineer, you’ll be part of our machine learning R&D team and work closely with product teams. The R&D group includes experienced engineers, Ph.D. students, and postdocs collaborating with Danish and international universities. Our product teams are cross-functional and own product discovery and delivery end-to-end.

In this role, you’ll help develop new models, implement state-of-the-art research, and contribute to translating those outputs into impactful product features. For example, you might support prototyping a new ML-based product feature in collaboration with other teams, or work on adapting cutting-edge research to Corti’s healthcare domain.

What You’ll Be Doing

• Contribute to building and improving machine learning models for audio, text, and structured data.
• Translate research outcomes into prototypes that can inform new product features.
• Help design and implement APIs and pipelines that make ML models accessible across the organization.
• Collaborate with researchers, engineers, and product teams to move ML ideas into production.
• Improve healthcare globally as part of your daily work.

What You Bring

• A Master’s degree in computer science, engineering, mathematics, statistics, physics, or a related field (or equivalent experience).
• Mastery in Python, data structures, and algorithms, with the ability to contribute to production-level code.
• Experience with at least one major ML framework (PyTorch or TensorFlow).
• Practical experience working on applied machine learning projects (academic or industry).
• Strong communication skills—you can explain technical concepts to both technical and non-technical colleagues.
• Experience with natural language processing, speech recognition, or generative AI.
• Familiarity with designing ML pipelines for real-world applications.

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!