Senior Applied Scientist – Search

Role Overview

• Develop and advance knowledge extraction and representation methods
• we’re particularly interested in people keen on:
• structured knowledge extraction from legal texts and images
• knowledge graphs/ontology engineering
• legal knowledge base construction
• specialised embedding methods for multimodal content in the legal domain
• Develop methods for retrieval and reasoning over legal knowledge bases and systems (e.g. hybrid search approaches combining symbolic and neural techniques, query understanding and rewriting for legal search)
• Performing fine-tuning and reinforcement learning to teach language models how to interact with new information architectures.
• Building “hard” eval sets to help identify failure modes of how language models work with legal data.
• Build infrastructure for running experiments and visualising results.
• Work with colleagues to communicate results internally and publicly.
• Stay updated with the latest research in machine learning, AI, knowledge representation and retrieval to bring innovative solutions to the table.
• Mentor junior researchers and contribute to building a collaborative, knowledge-sharing culture.

Requirements

• A Ph.D. in Computer Science, Data Science, Machine Learning, Statistics, or a related field (or equivalent practical experience).
• Strong expertise in machine learning algorithms, statistical methods, and optimisation techniques.
• Have a strong track record of scientific research (in any field), and have done work on information retrieval, knowledge representation and reasoning, structured knowledge extraction, or large-scale data analytics.
• You view research and engineering as two sides of the same coin. Every team member writes code, designs and runs experiments, and interprets results.
• Experience (or desire to be) working in multi-disciplinary teams.

Benefits

• Hybrid schedule: We offer a flexible working schedule. #LI-HYBRID
• Equity package: Generous equity scheme
• everyone gets to be an owner of Robin AI!
• Annual leave: 17 days PTO, in addition to the public holidays observed in the USA.
• Health: Medical, dental, and vision coverage.
• 401k retirement.
• Growth opportunities: We prioritise promotions for high performers and help you to progress your career.