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Company: Thomson Reuters
Location: Toronto, ON
Job description: 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 (M&A) deals. The primary objective is to automate the extraction of critical information from voluminous M&A documents, enhancing efficiency and decision-making in the due diligence process. Utilizing advanced natural language processing (NLP) techniques, our system will categorize M&A 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
Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
Accessibility
As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.
We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.
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Thomson Reuters’ Text Metadata and Services (TMS) product and engineering teams focus on enriching TR’s product offerings within content acquisition and processing, as well as news feed. They are interested in use cases for Text Analysis, where users can discover new information in previously unknown sources, including lawyers and investigators who need to discover linked data. They are looking to attract and hire Ph.D. students and recent MSc graduates to assess and implement new ideas. They are seeking individuals with practical experience in building NLP/IR/ML systems and software engineering skills.
The company offers a flexible hybrid working environment and focuses on equality, diversity, inclusion, work-life balance, and social impact. They are looking for individuals who want to contribute to creating a more transparent, just, and inclusive future. The company values diversity and seeks talented employees regardless of race, gender, religion, disability, or other protected classifications, providing a drug-free workplace and making reasonable accommodations for individuals with disabilities and religious beliefs.
We are looking for a detail-oriented and highly organized Office Administrator to join our team. In this role, you will be responsible for managing the day-to-day operations of the office, including handling administrative tasks, coordinating schedules, and providing support to our team members. The ideal candidate will have excellent communication and interpersonal skills, as well as the ability to multitask and prioritize tasks effectively. If you are a proactive and reliable professional with a strong work ethic, we would love to hear from you. Join us and be a part of our dynamic and growing company!
Expected salary:
Job date: Fri, 09 Feb 2024 07:13:17 GMT