This role sits within the applied science function and is responsible for designing, building, and deploying document understanding systems that directly power Westlaw, PracticalLaw, and CoCounsel.
Requirements
- PhD or Master's in Computer Science, AI, NLP, or a related field
- 5+ years of post-degree industry experience shipping document understanding, information extraction, or knowledge graph systems into production
- Publications at ACL, EMNLP, ICLR, NeurIPS, SIGIR, KDD, or equivalent
- Experience leading through influence in an applied research setting
- Production Python and experience with PyTorch, Hugging Face Transformers, and DeepSpeed
- Hands-on production depth required in: document layout analysis and semantic chunking, hierarchical multi-label document classification, entity recognition and linking, relation extraction, citation parsing, and knowledge graph construction
Benefits
- Flexible vacation
- Two company-wide Mental Health Days off
- Access to the Headspace app
- Retirement savings
- Tuition reimbursement
- Employee incentive programs
- Resources for mental, physical, and financial wellbeing
