Pathway

Machine Learning Engineer

• help design experimental end-to-end ML/AI pipelines
• contribute to addressing new use cases, beyond state of the art
• improve/adapt AI pipelines for production, working directly with client data (often live data streams)
• invent ways to pre-process data sources and perform tweaks (reranking, model paramater configuration...) for optimal performance of AI pipelines.
• design benchmark tasks and perform experiments.
• build unit tests and implement model monitoring.
• contribute high-quality production code to our developer frameworks, used by thousands of developers.
• help to pre-process data sets for LLM training.

R&D AI Software Engineer, End-to-End Machine Learning Engineer, RAG and LLM

AI Research Scientist

• perform (distributed) model training.
• help improve/adapt model architectures based on experiment results.
• design new tasks and experiments.
• optionally: oversee activities of team members involved in data preparation.
• The results of your work will play a crucial role in the success of the project.

R&D AI Software Engineer, End-to-End Machine Learning Engineer, RAG and LLM

Machine Learning Researcher / Engineer – Foundational Models