Laboratory Research Assistant conducting data collection for clinical device trials at UHS locations in New York. Responsible for maintaining data integrity and compliance with research protocols.
About the role
- Senior Applied Scientist leading research and innovations in AI to make legal knowledge accessible at Robin. Bridging gaps between advanced search technologies and legal information needs in a hybrid work environment.
Responsibilities
- 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.
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