Thomson Reuters’ Text Metadata and Services (TMS) product and engineering teams are responsible for enriching TR’s product offerings within content acquisition and processing as well as news feed. The use cases in these domains are interesting for Text Analysis, with users expecting to discover new information in sources previously unknown/unseen. From lawyers to investigators (criminal, due diligence, etc.), these professionals need to discover pertinent information (linked data). Our 2024 development roadmap is rich with features and functionalities as well as research and discovery opportunities to explore. Attracting and hiring Ph.D. students and MSc recent graduates allows us to assess and ideally productionize a larger set of these ideas. Basic Qualifications: PhD student or MSc recent graduate in a discipline relevant to NLP/IR/ML/Statistics, Practical and relevant experience building NLP/IR/ML systems, from ideation to implementation, Software engineering skills for prototyping, Proficiency in implementing solutions using Python, DL frameworks, and relevant tools Experience in using code collaboration and versioning systems such as GitHub Familiarity with cloud tools such as Amazon AWS, MS Azure Data-driven problem-solving and decision-making mindset, Curious and innovative disposition capable of proposing outside-the-box solutions, Comfortable in communicating (verbal and written) complex AI solutions to audiences with diverse technical backgrounds. Preferred qualifications: Ability to translate academic research into working prototypes and experience experimenting with novel NLP/IR/ML models to solve real-world problems, Self-driven attitude and ability to work with limited supervision, Team player and comfortable to collaborate with internal team members and external stakeholders, Comfortable in working in fast-paced, agile environments managing uncertainty and ambiguity, Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD, or similar venues are a bonus. The preferred length of an internship position is 8 months. Tentative internship projects: Below you can find summaries of a small subset of ideas we will be investigating in 2024. Depending on the time of onboarding and length of internship other projects with similar themes and topics can be considered for the selected intern. Document Review projects: Document Classification Summarization: Description: In this project, we aim to develop a sophisticated document classification and summarization system tailored for merger and acquisition (MA) deals. The primary objective is to automate the extraction of critical information from voluminous MA documents, enhancing efficiency and decision-making in the due diligence process. Utilizing advanced natural language processing (NLP) techniques, our system will categorize MA documents into relevant classes and based on classification further information extraction and summarization will happen. Named Entity Recognition and Resolution: Description: We are embarking on an ambitious project to develop a cutting-edge Entity Identification and Resolution System that transcends domain boundaries, with a primary focus on domains such as legal, public records, tax, and other specialized fields. This involves implementing state-of-the-art NER models that can accurately identify and classify entities, including but not limited to organizations, individuals, locations, legal entities, citations, patents, and trademarks adopting the latest advancements in contextual embeddings, pre-trained language models, and transfer learning techniques to enhance entity recognition across domains. We leverage techniques from the fields of Information Retrieval (IR), Named Entity Recognition (NER), recommendation systems, classification, LLMs, AI explainability, and user-centric design. Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more. Learning Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking. Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social, and Governance (ESG) initiatives for local and global impact. Purpose-Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. #LI-SS ¿Quieres formar parte de un equipo que ayuda a reinventar la forma en que trabajan los profesionales del conocimiento? ¿Qué tal un equipo que trabaja todos los días para crear un futuro más transparente, justo e inclusivo? En Thomson Reuters, hemos estado haciendo precisamente eso durante casi 160 años. Nuestros productos y servicios líderes en la industria incluyen software y herramientas altamente especializados basados en información para profesionales legales, tributarios, contables y de cumplimiento, combinados con los servicios de noticias más globales del mundo: Reuters. Ayudamos a estos profesionales a hacer mejor su trabajo, dándoles más tiempo para centrarse en las cosas que más importan: asesorar, defender, negociar, gobernar e informar. Contamos con el talento de 26 000 empleados en más de 70 países, donde todos tienen la oportunidad de contribuir y crecer profesionalmente en entornos de trabajo flexibles que celebran la diversidad y la inclusión. En un momento en que la objetividad, la exactitud, la equidad y la transparencia están siendo atacadas, consideramos que es nuestro deber perseguirlas. ¿Suena emocionante? Únete a nosotros y ayude a dar forma a las industrias que hacen avanzar a la sociedad. Accesibilidad Como empresa global, confiamos en la diversidad de culturas y pensamientos para alcanzar nuestros objetivos. Para garantizar que podamos hacerlo, buscamos empleados talentosos y calificados en todas nuestras operaciones en todo el mundo, independientemente de su raza, color, sexo/género, incluido el embarazo, la identidad y expresión de género, el origen nacional, religión, orientación sexual, discapacidad, edad, estado civil, estado de ciudadano, estado de veterano o cualquier otra clasificación protegida según la ley aplicable. Thomson Reuters se enorgullece de ser un empleador que ofrece igualdad de oportunidades de empleo y acción afirmativa y ofrece un lugar de trabajo libre de drogas. También hacemos adaptaciones razonables para personas calificadas con discapacidades y para creencias religiosas sinceras de acuerdo con la ley aplicable. Protégete de ofertas de trabajo fraudulentas haz click aquí para más información. Podés encontrar más información sobre Thomson Reuters en thomsonreuters.com. Thomson Reuters proporciona a los profesionales la inteligencia , tecnologia y experiencia humana que necesitan para encontrar respuestas confiables . Permitimos que los profesionales de los mercados financieros y de riesgos , legales , fiscales , contables y de medios de comunicacion , tomen las decisiones más importantes , todo ello impulsado por la organizacion de noticas más confiable del mundo. Hear from one of our AI Experts, Shawn Malhotra, Thomson Reuters' Head of Engineering on the key components that go into innovating AI at Thomson Reuters.