Staff Applied Scientist - Search
Staff Applied Scientist - Search
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1 Vacancy
Job Description
About Robin AI
What will you do as a Staff Research Scientist
You will be leading designing and experimenting with cutting edge research on how to best solve pressing issues surfacing in the legal domain. You will apply your expertise in machine learning data science and behavioural modelling to drive meaningful insights and innovations.
As AI agents become the norm in this industry so does the need for efficient legal information retrieval semantic search capabilities and structured knowledge representation. Your work will bridge the gap between advanced search technologies and the complex information needs of the legal domain making legal knowledge more accessible navigable and actionable.
Your daytoday responsibilities:
Develop and advance knowledge extraction and representation methods were 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 finetuning 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 knowledgesharing culture.
Ideally you should have the following qualifications:
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 donework on information retrieval knowledge representation and reasoning structured knowledge extraction or largescale 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 multidisciplinary teams.
Whats in it for you
Salary:Competitive
Hybrid schedule: We offer a flexible working schedule. #LIHYBRID
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.
Whats it like working at Robin AI
Our culture and values attract people who are creative resourceful and share our passion for excellence. At Robin youre encouraged to push yourself and empowered to take risks. We support each other to think big try new ideas and navigate uncertainty. Whether youre at our headquarters or one of our worldwide offices youll find a world of opportunities to grow thrive and make a meaningful impact. See what life is like at Robin.
Diversity Equity and Inclusion at Robin AI
We are committed to building one of the most diverse technology companies in the world. As of 2024 more than 30 of our employees come from ethnic minority backgrounds and 51 of roles are held by women. We know that transforming the legal industry requires diverse perspectives so were creating an environment where innovation thrives through inclusion.
Required Experience:
Staff IC
Employment Type
Full-Time
