ML Research Graduate Internship
About us
Kaiko.ai is a clinical AI research lab in Zurich and Amsterdam. We train our own large-scale frontier-class models end to end, on our own compute. The full stack is in scope, from training infrastructure and post-training algorithms to data generation, evaluation, and production inference.
Job description
As a Machine Learning Research Graduate Intern, you will be embedded in our core research team for six months, working alongside PhD researchers and senior engineers on problems that directly shape our clinical foundation model. You will own real work, contribute ideas, and see your output reflected in our system, making a significant impact in the field of clinical AI research.
- Synthetic clinical data generation, multimodal data pipelines, curation and quality filtering
- Clinical benchmarks, agentic eval design, measurement infrastructure for the production stack
- Continued pre-training on clinical corpora, post-training algorithms, distributed training at frontier scale
- Agentic RL on real clinical workflows, reward modeling, RL infrastructure
- Inference & Training optimisation, serving stack, quantisation and throughput tuning
Relevant work experience
- Hands-on experience with ML research or engineering, ideally in training, post-training, RL, data, or evaluation
Benefits
Fair compensation: an internship salary of CHF 4000 / EUR 3000 gross per month
Skills required for the job