Senior Applied Scientist, Document Understanding

Job not on LinkedIn

🕒 April 13

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

🗽 New York, Michigan, +2 more states – Remote

🗽 New York – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🤠 Texas – Remote

💵 $127.4k - $236.6k / year

⏰ Full Time

🟠 Senior

🧬 Research Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 35%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Thomson Reuters

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2008

💼 Consulting

⚖️ Legal

🛡️ Insurance

Consulting • Legal • Insurance

Thomson Reuters is a global content and technology company that provides professionals with reliable and accurate solutions across the legal, tax and accounting, international trade, and risk management sectors. The company offers a range of products including legal research tools, tax preparation software, compliance and regulatory solutions, and media services like Reuters for global news. With significant investments in generative AI, Thomson Reuters continues to innovate in helping professionals optimize their workflows and enhance their decision-making. Their platforms serve various industries such as law firms, corporations, tax professionals, and media organizations, providing essential tools that combine powerful technology with in-depth expert content.

📋 Description

• Design and deploy semantic chunking models for lengthy legal documents • Build document enrichment systems that classify documents according to legal taxonomies • Develop LLM-based knowledge graph construction pipelines • Build scalable synthetic data generation systems for model training • Apply knowledge distillation techniques for model compression • Design evaluation frameworks using expert annotation • Collaborate with engineering on delivery and scale across product lines • Contribute to published research at top-tier venues

🎯 Requirements

• PhD or Master's in Computer Science, AI, NLP, or related field • 5+ years of post-degree industry experience in document understanding, information extraction, or knowledge graph systems • Publications at ACL, EMNLP, ICLR, NeurIPS, SIGIR, KDD, or equivalent • Experience with Python and libraries such as PyTorch, Hugging Face Transformers, and DeepSpeed • Hands-on production experience in document layout analysis, classification, entity recognition, and more

🏖️ Benefits

• Flex My Way workplace policies for personal and professional responsibilities • Flexible work arrangements including work from anywhere for up to 8 weeks per year • Comprehensive benefit plans including flexible vacation and two Mental Health Days off • Access to the Headspace app for mental health • Retirement savings with a 401(k) plan including company match • Tuition reimbursement for educational development • Employee incentive programs and resources for wellbeing