
Senior Applied Scientist – Search
Robin AI
full-time
Posted on:
Location Type: Hybrid
Location: New York City • New York • United States
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Salary
💰 $200,000 per year
Job Level
About the role
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
knowledge extractionknowledge representationknowledge graphsontology engineeringlegal knowledge base constructionembedding methodsretrieval methodsreinforcement learningmachine learning algorithmsstatistical methods
Soft Skills
communicationmentoringcollaborationteamworkresearchproblem-solvinginnovationknowledge sharinginterdisciplinary workresult interpretation
Certifications
Ph.D. in Computer SciencePh.D. in Data SciencePh.D. in Machine LearningPh.D. in Statistics