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- Tasks: Lead cutting-edge research to solve pressing legal issues using AI and machine learning.
- Company: Join Robin AI, a pioneer in Legal AI, transforming the legal industry globally.
- Benefits: Enjoy a hybrid work schedule, generous equity, 25 days PTO, and comprehensive health benefits.
- Why this job: Be part of a creative culture that encourages innovation and meaningful impact in the legal domain.
- Qualifications: Ph.D. in a relevant field with expertise in machine learning and a passion for research.
- Other info: Contribute to a diverse team committed to inclusion and excellence in technology.
The predicted salary is between 43200 - 72000 ÂŁ per year.
Robin AI is on a mission to rebuild the legal industry — starting with making contracts simple for everyone. We are a pioneer in Legal AI, built on proprietary models, licensed data, and deep partnerships with Anthropic and AWS. Since 2019, we’ve expanded our footprint to 4 continents and have been supporting many of the world’s most successful businesses, including GE, Pfizer, KPMG, and UBS.
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.
Responsibilities:
- Develop and advance knowledge extraction and representation methods, particularly in:
- 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
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.
- A strong track record of scientific research (in any field), with experience in 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.
What’s in it for you:
- Hybrid schedule: We offer a flexible working schedule.
- Equity package: Generous equity scheme - 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.
What’s it like working at Robin AI?
Our culture and values attract people who are creative, resourceful, and share our passion for excellence. At Robin, you’re encouraged to push yourself and empowered to take risks. We support each other to think big, try new ideas, and navigate uncertainty. Whether you’re at our headquarters or one of our worldwide offices, you’ll find a world of opportunities to grow, thrive, and make a meaningful impact.
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 we’re creating an environment where innovation thrives through inclusion.
Staff Applied Scientist - Search employer: Robin Ai
Contact Detail:
Robin Ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Applied Scientist - Search
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning and AI, particularly in the context of legal applications. This will not only help you understand the challenges faced in the legal domain but also allow you to discuss innovative solutions during interviews.
✨Tip Number 2
Engage with the legal tech community by attending relevant conferences or webinars. Networking with professionals in this field can provide insights into current trends and may even lead to valuable connections that could support your application.
✨Tip Number 3
Showcase your ability to work in multi-disciplinary teams by highlighting any collaborative projects you've been involved in. This is crucial for a role that bridges research and engineering, as it demonstrates your adaptability and teamwork skills.
✨Tip Number 4
Prepare to discuss specific examples of your past research and how it relates to knowledge extraction and representation. Being able to articulate your experience in these areas will set you apart as a strong candidate for the Staff Applied Scientist position.
We think you need these skills to ace Staff Applied Scientist - Search
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, data science, and legal knowledge representation. Use specific examples from your past work that align with the responsibilities outlined in the job description.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the legal industry and how your expertise can contribute to Robin AI's mission. Mention any specific projects or research that demonstrate your skills in knowledge extraction and retrieval methods.
Showcase Your Research Experience: Detail your scientific research background, particularly in information retrieval and structured knowledge extraction. Highlight any publications or projects that showcase your ability to bridge research and engineering.
Demonstrate Team Collaboration: Since the role involves working in multi-disciplinary teams, provide examples of how you've successfully collaborated with others in previous roles. Emphasise your ability to mentor junior researchers and contribute to a knowledge-sharing culture.
How to prepare for a job interview at Robin Ai
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail, especially those related to machine learning, data science, or legal information retrieval. Highlight any innovative solutions you've developed and how they can apply to the challenges faced by Robin AI.
✨Demonstrate Technical Proficiency
Familiarise yourself with the latest machine learning algorithms and techniques relevant to the role. Be ready to explain complex concepts in a simple manner, as you may need to communicate your ideas to non-technical team members.
✨Emphasise Collaboration Skills
Since the role involves working in multi-disciplinary teams, share examples of how you've successfully collaborated with others in past projects. Discuss your approach to mentoring junior researchers and fostering a knowledge-sharing culture.
✨Stay Updated on Industry Trends
Research current trends in legal AI and knowledge representation. Being knowledgeable about recent advancements will not only impress your interviewers but also demonstrate your commitment to contributing innovative solutions at Robin AI.
