About kaiko

In cancer care, treatment decisions can take many days—but patients don’t have that time. One of the reasons for delays? Cancer patients' data is scattered across many places: doctor’s notes, medical imagery, genomics data. At kaiko, we are developing AI foundational models to bring this data together and integrate it into clinical workflows, enabling doctors to make faster, more effective treatments decisions.

We also collaborate closely with the leading Dutch cancer research institute (NKI) on multiple AI research projects and a joint clinical validation initiative. In 2025, we plan on expanding our partnerships to even more hospitals.

We raised significant long-term funding and have offices in Zurich and Amsterdam. Over the past year, our team has nearly doubled in size, now comprising 70+ people from 25 countries.  

About the role

Join our innovative team at the forefront of medical AI, where you'll play a pivotal role in developing cutting-edge products that empower clinicians with faster and more informed decision-making. As a Senior Machine Learning Engineer specializing in Natural Language Processing (NLP) and Large Language Models (LLMs), you will be responsible for the full lifecycle of these solutions, from initial concept to successful validation. You'll collaborate closely with a diverse team of ML researchers, software engineers, UX designers, and medical professionals. This position offers the opportunity to work on truly impactful projects that shape the future of healthcare, and can be based in either The Netherlands or Switzerland.

Some areas of responsibility

• Translate complex clinical challenges into innovative and robust NLP/LLM-based product concepts.

• Develop advanced LLM solutions for various medical tasks by leveraging techniques such as fine-tuning or prompt engineering, ensuring the most effective approach is applied to each challenge.

• Design, develop, and advance pipelines for handling large volumes of unstructured text data, including converting the data into effective instruction data, optimized for LLM fine-tuning, and for model evaluation.

• Drive experimentation and continuous optimization to ensure LLMs are safe, reliable, and effective in clinical settings.

If you are a skilled ML Engineer who is excited about leveraging LLMs to achieve faster and better decision making in the clinic, we think you will love this job.

Why kaiko

At kaiko, we believe the best ideas come from collaboration, ownership and ambition. We’ve built a team of international experts where your work has direct impact. Here’s what we value:

• We act like owners: You’ll have the autonomy to set your own goals, make critical decisions, and see the direct impact of your work.

• We thrive on collaboration: You’ll have to approach disagreement with curiosity, build on common ground and create solutions together.

• We work with ambitious people: You’ll be surrounded by people who set high standards for themselves and others, who see obstacles as opportunities, and who are relentless in their work to create better outcomes for patients.

 In addition, we offer:

• An attractive and competitive salary, a good pension plan and 25 vacation days per year.

• Great offsites and team events to strengthen the team and celebrate successes together.

• A EUR 1000 learning and development budget to help you grow.

• Autonomy to do your work the way that works best for you, whether you have a kid or prefer early mornings.

• An annual commuting subsidy.

About you

• You bring at least four years of relevant work experience in machine learning, natural language processing, or related fields.

• You excel at bridging the gap between experimentation and production, turning research insights into robust, scalable solutions.

• You are passionate about creating products that make a meaningful impact in clinical settings.

Nice to have:

• Experience working in the medical or healthcare domain.

We are excited to gather a broad range of perspectives in our team, as we believe it will help us build better products to support a broader set of people. If you’re excited about us but don’t fit every single qualification, we still encourage you to apply: we’ve had incredible team members join us who didn’t check every box!