Design and improve NLP and retrieval systems that power legal research and AI-assisted workflows
Job Summary
Design and improve NLP and retrieval systems that power legal research and AI-assisted workflows.
Contribute directly to embedding-based search, retrieval-augmented generation (RAG), and large language model (LLM) quality improvements, with a strong focus on evaluation, relevance, and measurable impact.
We promote a healthy work/life balance across the organization, offering numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals.
Matching Summary
Design and improve NLP and retrieval systems that power legal research and AI-assisted workflows.
Skills & Requirements
Must-have
NLP pipelines for legal text
Embedding-based retrieval and search
RAG/LLM quality improvements
Model evaluation and quality measurement
Python for data science
Machine learning algorithms
Nice-to-have
Ethical AI solutions
Flexible multi-model approach
Well-being initiatives
Work-life balance
Key Requirements
2+ years relevant work experience or Master's degree
2+ years experience in Data Engineer, Data Analyst, or ML Engineer