Junior Data ML Engineer

kaiko.ai is building a next-generation agentic clinical AI assistant that helps clinicians reason across patient data, guidelines, and diagnostics. The company is seeking a Junior Research Data ML Engineer to design and implement data-sourcing, synthetic-generation, and curation pipelines for its Multimodal Large Language Model (MLLM).

Requirements

• Strong programming skills in Python and familiarity with distributed frameworks such as Ray or Spark
• Experience contributing to ML research and associated data challenges, such as data cleaning, transformation and validation
• Exposure to synthetic-data generation workflows or interest in working with LLM-related data pipeline
• Understanding of lakehouse paradigms (Delta, Iceberg) and columnar formats (Parquet, ORC)
• Experience with core data-processing primitives (hashing, deduplication, chunking etc.) and associated scalability/performance trade-offs
• Strong communication skills and the ability to present experimental results and technical concepts clearly and concisely

Benefits

• Attractive and competitive salary
• Good pension plan
• 25 vacation days per year
• Great offsites and team events
• EUR 1000 learning and development budget
• Autonomy to do work the way that works best
• Annual commuting subsidy