Lead Applied Scientist, NLP/GenAI - Frisco

Job Summary

Responsibilities

• Innovate & Deliver at Scale Lead the design build test and deployment of end-to-end AI solutions for complex document understanding tasks in the legal domain Direct the execution of large-scale projects including advanced semantic chunking models for lengthy non-uniformly structured legal documents with adjustable granularity document enrichment systems with legal and customer-defined taxonomies LLM-based knowledge graph construction pipelines that extract and link heterogeneous legal knowledge and scalable synthetic data generation systems Serve as the technical lead and primary point of reference ensuring full accountability for all research deliverables Partner with engineering to guarantee well-managed software delivery reliability at scale across multiple product lines Evaluate Optimize & Advance Capabilities Design comprehensive evaluation strategies for both component-level end-to-end quality leveraging expert annotation synthetic data Apply robust training methodologies that balance performance latency requirements Lead knowledge distillation initiatives compress large models into production-ready SLMs Maintain scientific technical expertise through product deliverables published research intellectual property contributions Inform Labs shared capabilities research themes novel approaches challenging business problems Drive Strategic Technical Direction Independently determine appropriate architectures complex document understanding challenges balancing accuracy efficiency scalability Make critical technical decisions semantics chunking strategies document classification approaches LLM-based methods multi-document reasoning architectures Provide input business stakeholders mid-senior leadership Labs leadership long-term AI strategy Develop depth TR customers data infrastructure products shape technical roadmaps Align Communicate & Lead Partner Engineering Product teams translate complex challenges scalable production-ready solutions Engage stakeholders align objectives align capabilities diverse needs retrieval next-generation analysis question answering retrieval large collections Mentor coach team members varied abilities building capability organization About You Required Qualifications PhD Computer Science AI NLP related field Master's degree equivalent research/industry experience 7+ years hands-on experience building deploying document understanding systems information extraction pipelines construction using deep learning LLMs NLP methods Proven ability translate complex problems innovative applications balance accuracy efficiency Demonstrated provide technical leadership mentor influence applied setting Strong programming skills Python modern deep learning frameworks PyTorch Hugging Face Transformers DeepSpeed Publications relevant venues ACL EMNLP ICLR NeurIPS SIGIR KDD Technical Qualifications Deep understanding fundamental concepts layout analysis semantic chunking approaches fixed-size beyond fixed-size methods hierarchical taxonomies imbalanced multi-label classification adapting schemas Expertise entity recognition linking relation extraction citation parsing building graph representations unstructured text Expertise LLM-based few-shot multi-task post-training synthesis Solid understanding techniques query-answer verification augmentation training specialized models Solid optimization model compression designing SLM-based balanced constraints Experience designing workflows creating labeled datasets guidelines developing evaluation frameworks Tasks Preferred Qualifications Prior work handling structures common nested hierarchies cross-references embedded elements Experience building perform analysis question answering retrieval large collections Knowledge Graph frameworks enterprise applications Understanding RAG agentic workflows enterprise knowledge Experience AzureML AWS SageMaker #LI-LP2 What's it For You Flexibility Work-Life Balance Flex My Way supportive workplace policies personal responsibilities caring giving back community refresh reset flexible arrangements work anywhere weeks year empowering achieve better life-balance Career Development Growth Fostering culture continuous learning skill development preparing talent tackle tomorrow's challenges real-world solutions Grow My Way programming skills-first approach tools growth lead thrive future Industry Competitive Benefits Comprehensive benefit plans flexible vacation two company-wide Mental Health Days off access Headspace app retirement savings tuition reimbursement employee incentive programs resources mental physical wellbeing Culture Globally recognized award-winning reputation inclusion belonging flexibility work-life balance values Obsess Customers Compete Win Challenge Thinking Act Fast Learn Fast Stronger Together Social Impact Institute employees volunteer days annually opportunities pro-bono consulting projects Environmental Social Governance ESG initiatives Making Real-World Impact pursuing justice truth transparency professionals institutions served uphold rule law turn wheels commerce catch bad actors report facts trusted unbiased information people world Reuters part Thomson Reuters world leading provider trusted journalism news Powered talents employees over countries everyone contribute grow professionally flexible environments time objectivity accuracy fairness transparency duty pursue Sound exciting Join help shape industries move society forward As global business rely unique backgrounds perspectives experiences deliver goals seek talented qualified employees operations around world regardless race color sex gender including pregnancy gender identity expression national origin religion sexual orientation disability age marital status citizen status veteran status protected classification applicable law Thomson Reuters proud Equal Employment Opportunity Employer drug-free workplace We also make reasonable accommodations qualified individuals disabilities sincerely 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  Job description

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