Staff Applied Scientist Recommender Systems
Staff Applied Scientist Recommender Systems
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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 curating and creating personalised experiences and with that understanding the reasoning behind the models decisions. We are looking for people with a background and interest in advancing understanding in large language models controllability recommender systems or other aspects of explainability and personalisation.
Your daytoday responsibilities:
Develop methods for understanding LLMs by reverse engineering algorithms learned in their weights.
Develop and evaluate algorithms that enhance the transparency of blackbox models enabling better understanding of decisionmaking processes.
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 and interpretability or personalisation 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).
Direct working experience on interpretability personalisation techniques recommender systems or largescale data analytics.
Strong expertise in machine learning algorithms statistical methods and optimisation techniques.
Have a strong track record of scientific research (in any field) background
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:Generousequityscheme everyone gets to be an owner of Robin AI!
Annual leave: 25 days PTO in addition to the bank holidays observed in the UK.
Health and wellbeing: Comprehensive health insurance mental healthcare gym discounts and cycle to work scheme.
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
