Production python pytorch hugging face transformers deepspeed
This role focuses on designing, building, and deploying production-grade document understanding systems that power Westlaw, PracticalLaw, and CoCounsel
Job Summary
This role focuses on designing, building, and deploying production-grade document understanding systems that power Westlaw, PracticalLaw, and CoCounsel.
The position requires hands-on experience with model development, distillation, evaluation, and deployment of large language models into latency-constrained environments.
Thomson Reuters offers a comprehensive benefits package including market competitive health insurance, a 401k plan with company match, and flexible work arrangements.
Matching Summary
This role focuses on designing, building, and deploying production-grade document understanding systems that power Westlaw, PracticalLaw, and CoCounsel.
Salary
Base: $136,000 - $253,000 USD; Bonus: Eligible for Annual Bonus based on performance; Benefits: Comprehensive health, dental, vision, 401k match, tuition reimbursement
Skills & Requirements
Must-have
PhD or Master's in Computer Science AI NLP
3+ years shipping document understanding systems
Production Python PyTorch Hugging Face Transformers DeepSpeed
Document layout analysis and semantic chunking
Knowledge graph construction from unstructured text
LLM-based information extraction and distillation
Nice-to-have
Publications at ACL EMNLP ICLR NeurIPS SIGIR KDD
Experience with AzureML or AWS SageMaker
Legal domain knowledge and complex document structures