Join Thomson Reuters as a Senior Applied Scientist specializing in Natural Language Processing (NLP) and Generative AI (GenAI). You will lead cutting-edge research and development to advance AI-driven solutions that power our global information services and analytics platforms.

As a Senior Applied Scientist in NLP and GenAI at Thomson Reuters, you will play a pivotal role in innovating our AI capabilities to deliver superior insights to professionals in legal, tax, accounting, and corporate sectors. Your work will involve researching and implementing state-of-the-art NLP and generative AI techniques to enhance content analysis, search functionalities, and automated reporting tools.

Key responsibilities include:

• Leading research projects on advanced NLP models for semantic understanding, entity recognition, and multilingual processing.
• Developing and optimizing GenAI applications for knowledge extraction, summarization, and question-answering systems.
• Collaborating with engineering teams to integrate AI models into scalable, cloud-based platforms.
• Mentoring junior scientists and interns while contributing to Thomson Reuters' AI roadmap.
• Staying abreast of emerging trends in AI and evaluating their applicability to our business needs.

This position offers the chance to impact millions of users worldwide with ethical, reliable AI solutions in a collaborative and innovative environment.

• PhD in Computer Science, Machine Learning, or a related field with 5+ years of experience in NLP and AI.
• Proven expertise in generative AI models, including transformers, LLMs like GPT or BERT variants, and techniques such as fine-tuning, prompt engineering, and retrieval-augmented generation.
• Strong programming skills in Python, with proficiency in frameworks like TensorFlow, PyTorch, and Hugging Face Transformers.
• Experience with deploying AI models at scale in production environments, including MLOps practices.
• Excellent problem-solving abilities and a track record of publishing in top-tier conferences (e.g., ACL, NeurIPS, ICML).
• Ability to collaborate in cross-functional teams and communicate complex technical concepts to non-technical stakeholders.
• Familiarity with ethical AI considerations, bias mitigation, and data privacy regulations (e.g., GDPR).

• Competitive monthly salary range tailored to experience and location.
• Comprehensive health, dental, and vision insurance coverage.
• Generous paid time off, including vacation, sick leave, and parental leave.
• Professional development opportunities, such as conference attendance and advanced training in AI technologies.
• Flexible remote work options with access to state-of-the-art tools and resources.
• Retirement savings plan with company matching contributions.
• Employee wellness programs and mental health support services.